26 Jmp Jobs

Novo Nordisk Global Business Services (GBS) India Department- Clinical Drug Development (CDD) - Bangalore Global Development Does your motivation come from challenges and working in a dynamic environmentDo you thrive in a working environment where close collaboration with key stakeholders and strategic alignment is essentialDo you have a can-do attitude with continuous improvement as one of your career objectivesThen we might have the right position as Statistical Monitor for you. Apply now and join a growing team, working in an international environment. About the department Clinical Data Science, Global Business Services (CDS GBS) was started in September 2007 and within a short span of 16 years since its inception, has transitioned from a small start-up to one of the largest units in GBS and a key contributor to Novo Nordisk clinical development portfolio. As the organisation is growing along with the Research & Development portfolio, we are looking for several new medical Reviewing colleagues. In Clinical Data Science, we are responsible for managing clinical drug development worldwide from early development phases to product introduction. The CMU Bangalore is established in GBS to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is responsible for performance of centralised medical review of patient data that includes medical monitoring and lab surveillance; Statistical Monitoring analysis, and generation of visualisations and reports identifying outliers and trends from various data sources. The Position The Statistical Monitor plays a critical role in supporting Risk-Based Monitoring within Clinical Drug Development by operating and maintaining the centralized Statistical Monitoring function. This position focuses on detecting unusual data patterns, systematic errors, and potential instances of non-compliance or fraud that may not be identified through routine monitoring processes. The Statistical Monitor analyses clinical data across trials and projects to safeguard data integrity, which is essential for the approval of new drug. The role requires a high level of independence, with the potential to mentor junior colleagues and contribute to continuous improvement in data reliability and compliance. Responsible to operate and maintain the Statistical Monitoring function to identify unusual data patterns, systematic errors, and potential protocol non-compliance or fraud across clinical trials and projects. Work closely with trial and project teams, as well as data management and programming experts, to plan and execute statistical monitoring activities according to project timelines. Communicate monitoring observations to relevant stakeholders, support the interpretation of data issues, and contribute to data correction and quality improvement efforts. Contribute to the development, maintenance, and enhancement of statistical monitoring tools and methodologies, including exploring and implementing new techniques. Support training initiatives, participate in meetings and seminars, and foster strong collaboration and knowledge sharing with colleagues and cross-functional teams. Qualifications Holds university degree in life science or engineering (e.g. B.Sc., MSc, MD) or equivalent. 2 years of experience in pharmaceutical industry and preferably 1 year of experience with exploration and/ or visualisation of clinical trial data and scientific data. Experience from clinical development and understanding of data flow. Thorough understanding of clinical research and GCP. Understanding of basic statistical methods, preferably experience from reporting/publishing clinical/scientific data. Good knowledge on computer systems and IT. Exposure with SAS / JMP programming. Worked according to GxP and guidelines within drug development.

Novo Nordisk Global Business Services (GBS) India Department Centralised Monitoring Unit, CDS GBS - Bangalore Are you passionate about what you are doingDo you want to build excellence within processes in the most efficient wayDo you have innovative mindset to drive change in a future-ready environmentAre you best at what you doIf so, raise your hand as there is an exciting opportunity waiting for you as an "Functional Programmer " with us. "" At Novo Nordisk, we assure you will experience the best. About the department Bangalore Global Development since its inception, has transitioned from a small start-up to one of the largest units in Global Business Services, Bangalore (GBS) and a key contributor to Novo Nordisk clinical development portfolio. The Centralised Monitoring Unit (CMU) was established in GBS in 2016 to support the Risk Based Monitoring of clinical trials conducted by Novo Nordisk in line with health authority requirements. The unit is the single and only entity across the globe responsible for performance of centralised medical monitoring for all clinical trials involving medical review of patient data that includes medical monitoring and lab surveillance and generation of visualisations and reports identifying outliers and trends from various data sources. The Position As a Functional Programmer, the role involves generating standard and customized trial monitoring reports to support Risk-Based Quality Monitoring (RBQM) across clinical trial portfolios, using tools like SQL, SAS, Power BI, and Python. Responsibilities include understanding stakeholder needs, programming data-driven reports from multiple clinical systems, and ensuring high-quality deliverables through rigorous quality checks. The role also includes preparing documentation, supporting process improvements, and contributing to training initiatives. Responsible to generate standard and custom trial monitoring reports using languages like SQL, SAS, Python in different BI tools (Qlik Sense, Power BI, SAS JMP Clinical, Clue Point, eClincal etc.) ensuring alignment with stakeholder needs and RBQM requirements. Responsible to prepare, maintain, and peer-review report-related documentation; develop and perform quality checks to ensure accuracy and compliance. Conduct and chair trial monitoring meetings, gather requirements, train stakeholders on report usage, track requests, and manage expectations and timelines. Train and mentor new team members, support onboarding processes, and assist in developing training materials based on project needs. Ensure contributing to process enhancements, share best practices, and support the manager in resource allocation and project timeline planning. Qualifications A Masters or Bachelors degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or a related field. Equivalent qualifications or relevant professional certifications will also be considered. Above 3 years of experience in the pharmaceutical or life sciences industry, with a minimum of 2 years in clinical data management systems, bioinformatics, or as a Clinical Research Associate. Strong technical proficiency in computer systems and IT, particularly as they apply to clinical data handling and process optimization. In-depth understanding of GxP principles, as well as international guidelines and regulations related to drug development. Knowledge of computer system validation practices is essential. Proven experience in project management, team supervision, and mentoring, with the ability to lead cross-functional and cross-regional collaborations effectively. Strong interpersonal and presentation skills, with the ability to communicate complex technical and clinical concepts to both technical and non-technical stakeholders. Solid understanding of the drug development lifecycle, along with working knowledge of basic medical and clinical terminology. Advanced skills in any of the programming languages such as SAS, VBScript, SQL, PL/SQL, Power BI, or Python. Experience with additional tools like JSL, R-Shiny, or Natural Language Processing (NLP) is a strong plus.

Imagine what you could do here. At Apple, innovative ideas have a way of quickly becoming extraordinary products, services, and customer experiences. This is where individual creativities and experiences gather together that leads to great work. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Apple MQA is responsible for assuring high quality/process control requirements are sustainably implemented and maintained in Apple supply chain with effective tracking metrics and driving continual improvements in a creative & systemic way. Lead MQA activities in one or multiple lines of businesses, covering multiple suppliers. Setup regular compliance audit and ensure closure of issues on time. Best practice sharing cross vendors/LOBs to continually improve vendor performance. Proactively collaborate with cross functions and setup effective communication with LOB teams/leaders. Lead MQA cross LOB initiatives, such as data integration systems, data programs, efficiency improvement and extend best practices and influence to other product lines. Contractor management (Contractor planning, PO tracking, recruiting. Contractor onboarding support, Assignment and monitoring, Contractor evaluation and budget control). Lead digitalization efforts to move away from paper-based audits to ML & cloud-based audit frameworks. Minimum Qualifications: - Familiarity with mechanical manufacturing processes (machining, assembly, coatings, etc) is a must. - Expert on quality management system, quality procedures, and quality tools (e.g. quality control plan, Measurement system, CPK/SPC, Problem-solving, 8D). Preferred Qualifications: - Working knowledge of mechanical quality and reliability concepts, manufacturing operations management, and mechanical machining/surface finish/assembly. - Can-do attitude and willingness to innovate down to details. Logical thinking. - Excellent presentation and interpersonal skills to influence cross-function team and vendors, able to optimally deliver key information in English. - Hands-on experience on quality management system, process/product audit, certified TS16949/ISO9001 auditor is a plus. - Be familiar with data analysis tools such as Advanced Excel, JMP, Minitab, tableau. Coding (such as python, C++) and machine learning experience, is a plus. - Bachelor's degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Chemical Engineering, Material Engineering, or similar. Submit CV.,

Job Title: Product Engineer Location: Bengaluru Work Type: Full-time | Hybrid Payroll Company- Renesas Brief Description This position is responsible for supporting New Product Introduction (NPI) and other engineering activities of our state-of-the-art GaN semiconductor power electronic devices. This experienced a semiconductor product engineer will work in a cross functional role that involves the ownership of newproducts from concept to qualification as well as supporting other engineering activity including new technology development and sustaining engineering. The role requires coordinating activities across multiple departments (R&D, Design, Epitaxy, Fabrication, Assembly, Test and Reliability, etc.). Description • Lead the NPI process and coordinate the power device products definition, design, fabrication, testing and qualification, taking them from design to production release. • Work closely with technical project leaders, marketing, sales, and manufacturing teams to develop and execute NPI plans. • Negotiate schedules to align with resources and customer requirements. • Track and communicates status, key results, risks, and problems to all stakeholders to ensure alignment of priorities. Schedule and run NPI design review and gate activities. • Monitor and analyze parametric test and qualification results to write engineering reports. • Drive root cause investigations of performance and qualification issues. • Own and support other engineering projects Qualifications • Five years in semiconductor manufacturing, high-voltage power electronics is a plus. • BS in an engineering or science discipline and/or MS in engineering or science. • Experience with APQP design review processes, FMEA, NPI and SPC. • Understanding of semiconductor process and product development, wafer level processing, assembly and test methods. • Exceptional time management skills. • Ability to take initiative and work effectively in teams. • Excellent verbal and written communication skills. • Proficiency with MS Office. • Experience with discrete device testing and semiconductor packaging will be a plus. • Experience with engineering databases (mySQL etc) and statistical analysis using software such as JMP.

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to work on cutting-edge projects within the Silicon Engineering team. Your primary responsibility will involve validating building blocks in FPGA on board level to ensure functionality and performance align with the design intent. This will include various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, and I/O components. In this role, you will develop validation and characterization plans for specific IPs, bench hardware, and software. You will also be responsible for creating test logic RTL to execute validation and characterization tests effectively. Additionally, you will play a key role in driving new silicon product bring-up, validation, and debugging processes to assess IP functionality and performance, ultimately contributing to data sheet preparation. You will collaborate closely with design, verification, manufacturing, test, quality, and marketing teams throughout the product lifecycle, from Silicon arrival to product release. Furthermore, you will provide support to address customer issues post-product release, demonstrating strong written and verbal communication skills and the ability to work effectively in a cross-functional environment. The ideal candidate for this role should possess an Electrical Engineering degree with a strong passion for pursuing a career in Silicon Design Validation. You should have at least 2 years of experience and a solid understanding of High-Speed Serdes Interface characterization, including protocol compliance testing for interfaces like PCIe, Ethernet, SDI, CoaXpress, JESD204, MIPI D-PHY, MIPI CSI/DSI-2, USB, DisplayPort, and HDMI. Moreover, you should have knowledge in high-speed board design, signal integrity evaluation/debugging, Verilog/VHDL, FPGA development tools, and test automation using programming languages like Python and Perl. Familiarity with statistical analysis concepts, tools such as JMP and R, and bench equipment for device characterization will be beneficial. If you are a self-motivated individual with strong problem-solving and critical thinking skills, eager to work in a collaborative and challenging environment, then this role at Lattice may be the perfect opportunity for you to grow and excel in the field of Silicon Design Validation Engineering.,

As a Process Engineer at Lam in the Global Products Group, you will be an integral part of the team dedicated to excellence in the design and engineering of cutting-edge etch and deposition products. Your role involves operating on cutting-edge technology, utilizing atomic precision, material science, and surface engineering to push technical boundaries. By developing new and advanced process formulations, defining equipment hardware, evaluating test data, and coordinating design requirements, you will ensure the compatibility of processing methods. Your expertise and knowledge will significantly impact our customers" success and contribute to the next generation of semiconductor breakthroughs. In this position, you will be responsible for performing professional process engineering research, development, and evaluation to support the company's complex semiconductor capital equipment and systems. You will review processing techniques and methods used in product manufacture, fabrication, and evaluation, with involvement ranging from pilot plant to full-scale manufacturing. Additionally, you may conceive and plan projects involving new concepts and approaches while supporting customer technology managers in planning, data collection, analysis, and reporting of customer demos. You will collaborate with customer and senior engineers to understand roadmaps, process flow, and business challenges. By utilizing internal simulation tools and AI/ML-based strategies, you will drive process development optimization in etch processes. Your role will also involve analyzing data to enhance process performance, yield, and efficiency, as well as working closely with concept and feasibility teams to drive new process innovations and technology roadmaps. As a Process Engineer, you will act as a single point of contact for process-related requests from customers and work cross-functionally within the business unit to contribute to product development and release activities. Your leadership qualities will be demonstrated through acting as a resource for colleagues, leading small projects, and working effectively with cross-functional teams. In this role, a Ph.D. in Materials Science, Chemical Engineering, Chemistry, or Physics with 5+ years of experience, or an M.S. with 8+ years, or a B.S. with 10+ years of relevant work experience is required. Additionally, preferred qualifications include in-depth understanding of Plasma Physics, Reactive Ion Etching (RIE), Atomic Layer Etching (ALE), and other related technologies. At Lam, we believe in fostering a diverse and inclusive environment where every individual can achieve their full potential. Our hybrid work model offers flexibility and collaboration opportunities both on-site and remotely, allowing you to balance your work and personal life effectively. Join us in driving innovation and making a significant impact on the semiconductor industry.,

Your role The candidate should experience in managing Quality / Process Excellence initiative for large engagement. Must have led/driven Six Sigma and Lean projects. She/he need to have the leadership ability to implement the Six Sigma project directed by Master Black Belts (MBB). She/he should be comfortable with managing and driving complex process changes. Must have worked in cross functional teams and demonstrated ability to drive change in the process. Communicate regularly to report to both LSS and other improvement at Project / Engagement level for better engagement. Your profile She/he should have a valid LSS GB (Lean Six Sigma Green Belt) and LSS BB both (Lean Six Sigma Black Belt) certificates Good exposure in LSS DMAIC Project implementation. Good business insight well versed with all key IT business requirement. She/he should have a clear and effective communication skill to succeed in their roles as Six Sigma leaders, mentors, coaches and trainers. Must be able to speak the language of the C-suite and the project floor equally well. Good problem solving and presentation skills. Knowledge of advanced statistical tools like Minitab tool, JMP etc (for doing DOE, AVOVA, simulation etc) Understanding of basic and advanced statistical techniques (in Minitab tools) LSS Trainer (@YB, GB level) What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you canbring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internalsports events, yoga challenges, or marathons. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

Overview This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%).This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results.This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCos innovation in processing/packaging.

As a Biostatistician at CPVIA, a clinical data analytics solutions company based in Hyderabad, you will play a crucial role in providing statistical programming outsource and statistical consulting services to pharmaceutical, biotechnology, and medical device companies. Your primary responsibility will be to offer internal statistical support by collaborating closely with lab scientists, technicians, and other statisticians/programmers within the team. Your expertise will be instrumental in supporting various drug development activities for our clients. To excel in this role, you must have a minimum of 3-10 years of experience in the pharmaceutical industry. A background in Sciences or Engineering at the university level, complemented with a post-graduate degree in Biostatistics or equivalent statistical experience, is essential. Proficiency in SAS, R (and JMP), and a deep understanding of statistical theory across various methodologies and experimental designs are prerequisites for this position. We are looking for a team player who can effectively communicate and collaborate within multidisciplinary teams. Your role will involve contributing to the development of protocols, SAPs, and TFLs, as well as overseeing studies and ensuring timely delivery. Strong technical skills in power calculation, simulations, and QDM will be beneficial in fulfilling the requirements of this role. If you meet the qualifications mentioned above and are passionate about contributing to the acceleration of drug development activities with top-notch quality and cost-effectiveness, we invite you to share your resume with us at info@cpvia.com. Join our experienced and expert team at CPVIA to make a significant impact on the pharmaceutical and biotechnology sectors.,

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to be part of a dynamic team working on cutting-edge FPGA projects. This role involves validating building blocks in FPGA on the board level to ensure functionality and performance according to design intent. The FPGA includes various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, I/O, among others. In this position, you will learn how to validate one or many building blocks within the FPGA and gain knowledge of the process and methodology required for validating IPs from planning to completion. You will work with advanced equipment, boards, and software/tools while developing validation and characterization plans for specific IPs, bench hardware, and software. You will also create test logic RTL to conduct validation and characterization tests, drive new silicon product bring-up, validation, and debug processes, and analyze data sheet parameters. The ideal candidate for this role is highly motivated to develop a career in Silicon Design Validation Engineering. You will have exposure to various areas including FPGA and its building blocks, IP validation, bench hardware and software development, and more. You will lead and manage teams, possess an electrical engineering degree, have expertise in high-speed Serdes interface characterization, high-speed board design, Verilog/VHDL, FPGA development tools, test automation development, statistical analysis concepts, and bench equipment for device characterization. To excel in this role, you should have strong written and verbal communication skills, be self-motivated, proactive, possess critical thinking skills, and demonstrate good problem-solving and debugging abilities. If you thrive in a fast-paced, results-oriented environment and are looking to contribute to a team-first organization, Lattice may be the perfect fit for you.,

Role & responsibilities Primarily works at the Product/Program Level Provide input for budget planning Manage and Deliver assignments with quality and within timelines Possible to have direct reports; Possible to oversee contingent workers and/or vendors; likely to provide training to others; Analyzes needs to manage resources Responsible for statistical aspect of study designs and data analyses for clinical studies Provides study design input and consultation for clinical endpoint assessments and sample size planning Prepares, or oversees the preparation of statistical sections of clinical protocols in collaboration with key stakeholders, as deemed necessary Writes, or oversees the writing of, statistical analysis plans Conducts, or oversees the conduct of, analyses to support clinical study reports, abstracts, manuscripts, and other documents to support the marketing of Teva products Leads the conduct of analyses and document preparation to support global regulatory submissions, including briefing packages, integrated analyses, and regulatory responses. Collaborates with outsourcing partners and oversees conduct of statistical aspects of outsourced studies, as appropriate Proactively assesses and identifies processes that require improvement Participates in department initiatives to further the effectiveness of global statistics Implements innovative and cutting-edge clinical trial design, methodology and analysis Preferred candidate profile Ph.D./MS in Statistics/Biostatistics (or related field)

JOB TITLE: Assistant Manager – R&D Processing, Home Care Bars. LOCATION: Mumbai. About Unilever. With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.. Role Purpose. To lead the process design strategy for Home Care (HC) Bars, focusing on innovation, technology integration, and digital transformation. The role involves defining process specifications, establishing scale-up protocols, and ensuring seamless implementation across manufacturing platforms.. Key Responsibilities. Develop and execute Design of Experiments (DoE) to define material handling protocols and processing routes for innovation and cost-saving initiatives.. Provide timely technical inputs across critical project workstreams.. Lead manufacturing design lock for key technologies and ensure alignment with strategic objectives.. Define safety foundations and proactively eliminate risks in accordance with the Safety in Manufacture and Supply Approval System (SIMAS) to secure project approvals.. Drive capability building initiatives at AMC-Bars.. Oversee installation and commissioning of plant equipment, author operating manuals, and conduct initial operator training.. Collaborate with Supply Chain to evaluate and enhance return on investment (ROI) for projects.. Ensure product quality through close coordination with Supply Chain teams.. Conduct standard trials and tests for soaps and NSD bars at lab and pilot scales, supported by physical-chemical analysis.. Plan, execute, and report main plant trials with comprehensive data analysis and technical documentation.. Ensure adherence to Unilever’s safety and product standards.. Conduct pilot-scale trials to define process and packaging specifications for new raw materials and blends.. Validate plant-scale changes for impact on capacity, quality, and efficiency.. Maintain system updates reflecting formulation changes (e.g., PFD Tool, BOMs).. Identify recurring production issues and develop troubleshooting protocols.. Draft and implement operating instructions (manuals and SOPs) and train trainers and operators on modified processes.. Utilize digital tools such as Power BI, JMP, iProMPT, Pharos, LIMS, PLM, PFD, and CUC Finder to enhance process efficiency.. Qualifications & Experience. Bachelor’s degree in chemical engineering (BE/B.Tech/B.Sc).. 5–7 years of experience in Research and Development, preferably in NSD Bars formulation and processing.. Proficiency in digital tools for data modeling, process efficiency, and measurement.. Strong knowledge of process control and mechanical instrumentation.. Experience with HAZOPs and safety approval systems.. Skilled in MS Office (Excel, PowerPoint, Word), SAP, and SCADA.. Demonstrated project management and problem-solving capabilities.. Understanding of consumer action standards and process parameter optimization.. Stakeholder Engagement. Internal. Collaborate with Marketing, Supply Chain, Development, Production, and Project teams to ensure successful implementation of new products and technologies.. External. Engage with external partners to source advanced process technologies and integrate them into final design scopes.. Our commitment to Equality, Diversity & Inclusion. Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.. Show more Show less

Job Description Job Summary We are looking for an experienced process improvement professional who can identify, analyze, and resolve recurring production issues in our legacy product. The ideal candidate will implement data-driven methodologies including Six Sigma principles to reduce defects, optimize processes, and improve overall product reliability and customer satisfaction. Job Summary: We are looking for an experienced process improvement professional who can identify, analyze, and resolve recurring production issues in our legacy product. The ideal candidate will implement data-driven methodologies including Six Sigma principles to reduce defects, optimize processes, and improve overall product reliability and customer satisfaction. Key Responsibilities . Lead DMAIC (Define, Measure, Analyze, Improve, Control) projects to systematically eliminate defects in production processes . Participate in and support SEPG (Software Engineering Process Group) initiatives to improve organizational process capabilities . Implement and maintain CMM (Capability Maturity Model) practices and support process maturity assessments . Perform statistical analysis to identify patterns, trends, and root causes of production issues . Develop and implement process improvement strategies based on statistical evidence . Create and maintain process capability metrics and control charts to track performance improvements . Conduct Failure Mode and Effects Analysis (FMEA) to proactively identify potential failure points . Facilitate Kaizen events and process improvement workshops with cross-functional teams . Implement Statistical Process Control (SPC) methods to maintain process stability . Design experiments (DOE) to optimize process parameters and reduce variability . Develop control plans to sustain improvements and prevent regression . Train and mentor team members on process improvement tools and methodologies . Collaborate with engineering and operations teams to implement process changes Qualifications . Bachelor's degree in Engineering, Statistics, or related technical field . 5+ years of experience implementing process improvement methodologies in production environments . Knowledge of Six Sigma processes . Experience with SEPG (Software Engineering Process Group) activities and implementation . Knowledge of CMM (Capability Maturity Model) framework and process maturity assessments . Demonstrated success in reducing defects and improving process capabilities . Strong understanding of statistical analysis and tools (Minitab, JMP, R, etc.) . Experience with process mapping and value stream analysis . Expertise in root cause analysis techniques (5 Whys, Fishbone Diagrams, Pareto Analysis) . Proven ability to lead improvement projects and change management initiatives . Strong data analysis and visualization skills . Excellent communication and stakeholder management abilities . Experience working with legacy systems and complex processes is highly preferred Technical Skills . Advanced proficiency in statistical analysis methodologies . Experience with process modeling and simulation techniques & methodologies . Knowledge of Lean methodologies and waste elimination . Ability to analyze large datasets and extract meaningful insights . Understanding of production systems and operational workflows . Experience with process documentation and standard work development Preferred Skills . Experience with Lean methodologies and other process improvement frameworks . Experience with production monitoring and alerting systems . Knowledge of industry-specific regulations and standards . Background in reliability engineering or quality systems . Experience in the specific industry our product serves Added advantage Skills . Additional certifications in Lean, Theory of Constraints, or related methodologies . Experience in the specific industry our product serves . Working Knowledge of Six Sigma processes and tools . Additional training or certifications in ITIL, CMMI, or Agile methodologies . Advanced proficiency in statistical analysis software . Experience with process modeling and simulation tools Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

Tesla's Electronics Supplier Industrialization Engineering team plays a crucial role in developing and qualifying critical component and electronic part top-level assembly processes with our suppliers We provide regional support for New Product Introduction (NPI) and legacy product management within the supply chain This encompasses everything from early supplier sourcing assessments (in collaboration with the Tesla sourcing and design teams) and make-sourcing decisions, to industrialization and quality control activities This position demands excellent communication skills, strong supplier management expertise, a willingness to travel domestically and internationally, and the ability to make critical decisions in time-sensitive situations The role supports a diverse product portfolio, including low/high voltage products, controllers, audio and sensing projects, and optical lens and camera projects, Responsibilities Support Design for Manufacturing (DFM) principles during early product development, providing valuable feedback to NPI SIE (Supplier Industrialization engineer) and design teams, Conduct onsite supplier audit and provide assessment for sourcing decision, develop new suppliers to meet Tesla sourcing requirements, Drive continuous improvement in supplier scalability, cost, and quality performance, Manage and optimize supplier On-Time Delivery (OTD) performance, Oversee supplier production capacity and operations management, Facilitate clear communication of technical requirements between suppliers and Tesla's GSM, SIE, and Design teams, Conduct supplier audits to ensure compliance with part performance, delivery, and reliability expectations, Collaborate with Tesla supply chain teams to establish optimal performance specifications and supplier metrics, Lead, track, and improve supplier manufacturing process development and launch readiness for new products and design changes, Manage and enhance production and product quality Guide suppliers in developing robust processes and procedures for efficient, high-quality product manufacturing, Follow up and drive SCAR (supplier corrective actions review) with supplier Validate supplier corrective actions for design and/or process changes, ensuring they are sustainable and implemented across manufacturing lines and suppliers to prevent recurrence, Contribute to the evaluation of new or alternative materials for improved design, manufacturability, or cost reduction, Requirements Minimum 5 years of experience in supply chain or mechanical engineering; experience with Printed Circuit Board Assemblies (PCBAs), Printed Circuit Boards (PCBs) and PCBA top-level assemblies (TLAs) is highly preferred, BS degree in Electrical, Mechanical, Industrial, or Manufacturing Engineering, or demonstrable equivalent experience and exceptional ability, Proven experience with Design for Manufacturing (DFM) and Design for Assembly (DFA), Practical experience with Six Sigma methodologies; DAMIC experience is a plus, Solid hands-on experience of quality statistical analysis tools and applications (e-g , JMP, Minitab), Strong mechanical background, including statistical tolerance analysis, design quality assessment, and improvement techniques, Proficiency in GD&T and 3D CAD software, Demonstrated supplier development and management skills, Self-motivated and capable of working independently, Hands-on and adaptable to a fast-paced environment, Willingness to travel domestically and internationally up to 50% of the time, often with short notice, to engage with Contract Manufacturers (CMs),

Bachelor's degree in discipline such as Supply Chain, Economic, Manufacturing, Technology, or Data Analytics to bring diversity and different perspectives Minimum 3 years of experience in data analysis with understanding of statistical methods and strong analytical skills Experience with database management, programming, statistical modelling and/or business intelligence (SQL, R, Python, JMP, Tableau, etc.) Experienced with and proficient in Microsoft Office Suite Lateral and logical thinking. The ability to think creatively and outside the box to solve unique and challenging problems Motivated self-starter Strong problem-solving tendencies Willing and able to push boundaries Goal-oriented, with a focus on utilizing data for insight Able to multi-task, prioritize and project manage independently in an environment with competing priorities Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities Diverse functional experience, with a desire to use data in negotiations Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player Working closely with technical teams, and other organizations to understand the product and data Finding and interpreting large data sets to help predict costs Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use. Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support Ensuring data collected, analyzed and presented result in actionable insights for negotiation support Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations Understanding high-level business objectives and continually align those objectives to meet needs of the business.

Primarily works with key stakeholders on the design and analysis of experiments of certain non-clinical studies Internally consults and provides educational support to all Teva scientists (e.g., innovative and generic medicines) with respect to the Analytical Method Development of biologics and small molecules as well as Formulation Development of oral solids, oral liquids, injectables, and aerosols. Support may include delivery devices for the physical state of compounds - especially as it relates to injectables and aerosols Proactively looks for opportunities to enhance the presence of the Teva Non-Clinical Statistics Group internally and externally through the attendance conference/ workshops and authoring posters/ presentations/ publications Manage and Deliver assignments with quality and within timelines Utilizes various software which includes SAS, SAS JMP, R, Excell, Python, etc. for the planning and statistical analysis of non-clinical studies or projects. This may require specialized programming within these software packages for appropriate statistical analyses Familiar with GLP and GMP compliance Authors or reviews the writing of non-clinical statistical reports Proactively assesses opportunities that enhance quality and/ or efficiency Participates in department initiatives to further enhance the effectiveness of Teva GSD Your experience and qualifications Ph.D./MS in Statistics/Biostatistics (or related field) MS with a minimum of 10 years of related experience; PhD with a minimum of 6 years of related experience

3+ years of hands-on CMC experience required with JMP for statistical analysis, including DoE(Design of experiment), statistical approaches: PCA, and PLS. Strong understanding of QbD, PQR, and regulatory guidelines (ICH/FDA) required. Proficiency in SAS/R programming is essential Software: Minitab and JMP

Key Responsibilities: Applies engineering and/or scientific skills to technical processes with support from experienced team members. Participates as a team member, helps define/refine methods, and actively contributes towards team goals. Carries out engineering responsibilities using accepted methods and practical experience. Demonstrates good understanding and applies knowledge of an engineering discipline. Continues to develop capability to create engineering solutions through training and experience. Skills and Knowledge: Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred. Experience: Basic relevant work experience desired, such as internship, co-op, or other pertinent work experience. This is a Hybrid role. Qualifications: Master of Science, Bachelor of Science, or equivalent technical degree required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Applies Principles of Statistical Methods: Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference; models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Product Failure Mode Avoidance: Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem-solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product. Product Problem Solving: Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Reliability and Reliability Risk Management: Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales, and methods of tracking to focus attention on metrics to reduce risk and improve reliability. Quantitative Reliability Analysis: Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement. Reliability Test Planning: Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters, and confidence; develops system-level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Global Perspective: Taking a broad view when approaching issues, using a global lens. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. Position Overview Boeing Test and Evaluation team is currently looking for one Associate Reliability Engineer to join their team in Bengaluru, KA. Test & Evaluation engineers at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Boeing Test and Evaluation (BT&E) -India is an integral part of BT&E and is engaged in supporting lab and flight test for various programs. Position Responsibilities Reliability Engineer will refine various existing reliability tools as well as create new tools/processes for automating existing work making it more efficient and reliable. Examples include reliability analysis, automation of reliability group assignments, uncertainty analysis tool development, and statistical analysis of assets to determine possible advance warnings for groups of assets that could have suspect reliability. This role will be driving the Reliability Management Board for calibrated inventory to review the reliability reassessment recommendations coming from various sources like analytical tools, reports from the ground, feedback from calibration technicians and so on. This position would apply expertise in statistics and reliability to the field of predictive and preventive maintenance through data analysis. The candidate will also be responsible to perform risk assessments such as FMEA, FTA, leveraging RCM principles for Boeing’s production system. The candidate would analyze maintenance data from CMMS to identify trends in production system performance, life cycle cost modelling. Use results to develop maintenance strategies to optimize uptime, reliability and achieve business goal. Influences use of mathematical tools and processes. Forecasts mathematical needs and capabilities to address business requirements. Designs, codes, tests and maintain mathematical software. This position will also be responsible for coordinating and communicating regularly with experts in Boeing organizations around the world. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skills/Experience) A Bachelor’s degree or higher is required. Experience in DfR methodologies, with a strong focus on statistical and reliability modelling. Experience in reliability analysis of failure data such as Weibull, Exponential, PoF, Monte Carlo simulation. Proficient in Lifecycle data analysis, Cost modelling, Availability / Maintainability Modeling, with strong Reliability Engineering fundamentals Experience and knowledge in reliability management of metrology and measurement systems ensuring high reliability and maintainability. Strong background in reliability engineering methodologiesRCM, FMEA, FTA, and RCA Experience with predictive maintenance and prognostic health management techniques such as RUL estimation, conditioning monitoring alerts (AI and machine learning experience is a plus) Proficient with Reliability & Statistical analysis tools like Minitab, Mathematica, JMP, Tableau, Reliasoft Hands-on coding in Python/R/Matlab would be an added advantage Knowledge of failure modes of mechanical, electromechanical and electronic components Awareness of AS9100 or ISO9001 quality management system and ISO 17025 standard ASQ CRE certification will be added advantage Preferred Qualifications (Desired Skills/Experience) Bachelor’s/ Master’s Degree Typical Education & Experience Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of education and experience (e.g. Master+4 years' related work experience, 5+ years' related work experience, etc.). Relocation This position does offer relocation based on candidate eligibility within INDIA. Applications for this position will be accepted until Jun. 06, 2025 Export Control This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited toconducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Our Team This position is in the Product Management group within the semiconductor Process Diagnostics and Control (PDC) BU, which deals with metrology and wafer inspection on semiconductor wafers for process monitoring and control. The systems for enabling metrology and inspection are designed with state-of-the-art e-beam and optical imaging capabilities coupled with cutting edge image processing algorithms in order to detect and dispose nanometer size defects. The Product Management group is responsible to define the roadmap and the required content being developed so that short and long-term business requirements are met. Your Opportunity We are looking for a highly talented Product Manager responsible for translating customer requirements for defect control on advanced semiconductor nodes to critical performance requirements towards product roadmap. This is a highly visible role requiring interfacing with product and field marketing teams and collaboration with RnD teams to drive product development. Roles and Responsibility Define product requirements documents (PRD) and MVP (MVP stands for Minimum Viable Product) Customer requestsprocess customer requests and design them to best fit our tool architecture Concept and FeasibilityOur product managers aspire for data driven decisions. As such, we collect the relevant data, analyze it using advanced methodologies, and conclude decisions which drive our roadmap to the best possible Return on Investment Act as central resource between field and internal RnD to drive feature development life cycle Application valueValue verification upon dev completion Field expert supportAct as a 3rd level support in their expertise domain, keeping us close to the customer and maintaining in-depth understanding of customer problems and needs Field betaplan the content of the beta at first customers Our Ideal Candidate Strong technical background Ability to manage multiple stakeholders across disciplines and geographies in matrix environment Excellent communication and presentation skills More than 6 years of experience in hands-on semiconductor process, inspection and/or metrology domain is a must. Solid Data analysis skillsetstatistical tests, distributions and data interpretation techniques, Python programing and data visualization tools like Tableau JMP or PowerBI Qualifications Minimum qualificationMasters in Technology in engineering discipline Additional Qualifications: Matlab, python scripting skills are a plus Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 25% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Ability to establish strong client relationshipAbility to manage multiple stakeholdersAbility to work well in a teamDetail orientationAdaptable and flexibleIn this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Roles and Responsibilities: conduct E-E assessments of the business area leveraging enterprise data & process deep dives to identify opportunity area for improvementsDesign and create new solutions to the area of opportunity leveraging various optimization methodsThe person requires understanding of the strategic direction set by senior management as it relates to team goalsWhile being an active partner in formulating the strategy, this role is responsible for the execution of strategy formulated by superiorsPrimary upward interaction is with direct supervisorGenerally, interacts with peers and/or management levels at a client and/or within AccentureAccountable for the business value delivery at the aligned portfolio levelThe person should require minimal guidance when determining methods and procedures on new assignmentsIndividual would manage medium-small sized Individual contributors and/or work efforts (if in an individual contributor role) at a client or within AccenturePrior experience in using Minitab/ JMP is preferredPlease note that this role may require you to work in rotational shifts Qualification Any Graduation

Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Ability to establish strong client relationshipAbility to manage multiple stakeholdersAbility to work well in a teamDetail orientationAdaptable and flexibleIn this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Roles and Responsibilities: conduct E-E assessments of the business area leveraging enterprise data & process deep dives to identify opportunity area for improvementsDesign and create new solutions to the area of opportunity leveraging various optimization methodsThe person requires understanding of the strategic direction set by senior management as it relates to team goalsWhile being an active partner in formulating the strategy, this role is responsible for the execution of strategy formulated by superiorsPrimary upward interaction is with direct supervisorGenerally, interacts with peers and/or management levels at a client and/or within AccentureAccountable for the business value delivery at the aligned portfolio levelThe person should require minimal guidance when determining methods and procedures on new assignmentsIndividual would manage medium-small sized Individual contributors and/or work efforts (if in an individual contributor role) at a client or within AccenturePrior experience in using Minitab/ JMP is preferredPlease note that this role may require you to work in rotational shifts Qualification Any Graduation

Plan and execute advanced microbiological research to develop new products and optimize existing processes. Conduct microbial culturing, isolation, identification, and characterization using classical and molecular biology techniques.

locationsIndia, Bangalore time typeFull time posted onPosted 12 Days Ago job requisition idJR0273871 Job Details: About The Role : About the Role: Join our innovative and inclusive Logic Technology Development team as a TD AI and Analytics Engineer, where diverse talents come together to push the boundaries of semiconductor technology. You will have the opportunity to work in one of the world's most advanced cleanroom facilities, designing, executing, and analyzing experiments to meet engineering specifications for our cutting-edge processes. This role offers a unique chance to learn and operate a manufacturing line, integrating the many individual steps necessary for the production of complex microprocessors. What We Offer: We are dedicated to creating a collaborative, supportive, and exciting environment where diverse perspectives drive exceptional results. At Intel, you will have the opportunity to transform technology and contribute to a better future by delivering innovative products. Learn more about Intel Corporation's Core Values here. Benefits: We offer a comprehensive benefits package designed to support a healthy and fulfilling life. This includes excellent medical plans, wellness programs, recreational activities, generous time off, discounts on various products and services, and many more creative rewards that make Intel a great place to work. Discover more about our amazing benefits here. About the Logic Technology Development (LTD) TD Intel Foundry AI and Analytics Innovation Organization: Intel Foundry TD's AI and Analytics Innovation office is committed to providing a competitive advantage through End-to-End AI and Analytics Solutions, driving Intel's ambitious IDM2.0 goals. Our team is seeking an engineer with a background in Data Engineering, Software Engineering, or Data Science to support and develop modern AI/ML solutions. Explore what life is like inside Intel here. Key Responsibilities: As an Engineer in the TD AI office, you will collaborate with Intel's factory automation organization and Foundry TD's functional areas to support and develop modern AI/ML solutions. Your primary responsibilities will include. Developing software and data engineering solutions for in-house AI/ML products. Enhancing existing ML platforms and devising MLOps capabilities. Understanding existing data structures in factory automation systems and building data pipelines connecting different systems. Testing and supporting full-stack big data engineering systems. Developing data ingestion pipelines, data access APIs, and services, monitoring and maintaining deployment environments and platforms, creating technical documentation, and collaborating with peers/engineering teams to streamline solution development, validation, and deployment. Managing factory big data interaction with cloud environments, ORACLE, SQL, Python, Software architecture, and MLOps. Interfacing with process and integration functional area analytics teams and customers using advanced automated process control systems. Qualifications: Minimum Qualifications: Master's or PhD degree in Computer Science, Computer Engineering, or a related Science/Engineering discipline. 3+ years of experience in data engineering/software development and knowledge in Spark, NiFi, Hadoop, HBase, S3 object storage, Kubernetes, REST APIs, and services. Intermediate to advanced English proficiency (both verbal and written). Preferred Qualifications: 2+ years in data analytics and machine learning (Python, R, JMP, etc.) and relational databases (SQL). 2+ years in a technical leadership role. 3+ months of working knowledge with CI/CD (Continuous Integration/Continuous Deployment) and proficiency with GitHub and GitHub Actions. Prior interaction with factory automation systems. Application Process :By applying to this posting, your resume and profile will become visible to Intel recruiters, allowing them to consider you for current and future job openings aligned with the skills and positions mentioned above. We are constantly working towards a more connected and intelligent future, and we need your help. Change tomorrow. Start today. Job Type: Experienced Hire Shift: Shift 1 (India) Primary Location: India, Bangalore Additional Locations: Business group: As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in theTechnology Development and Manufacturing Groupare part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moores Law to bring smart, connected devices to every person on Earth. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. *

Job Title: Principal Bio-Statistician-Non clinical statistic Location: Hyderabad About The Job As part of the development of Sanofis pharmaceutical products, the R&D Data Sciences department and more specifically the Statistics department for the Chemical Manufacturing Control (CMC) (CMC Statistics), is responsible for contributing to statistical support, modeling, digitalization, decision-making and filing of new product registration files, Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do Build a career and you can be part of transforming our business while helping to change millions of lives ReadyAs CMC statistician within our Data Sciences/ CMC Statistics youll be supporting the CMC activities for process, analytical methods and formulation development, for several CMC sites in the world, We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives Were also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible Ready to get started Major Responsibilities Under supervision of Statistical Project Leader and/or Group Head, contribute to the reliability, scientific quality and optimization of project support from target identification to process development, by providing appropriate Non-Clinical statistical support: Accountable for all assigned statistical deliverables related to one study or activities in the Non-Clinical development area: Perform statistical analyses of data from the laboratories using R and possibly other languages (SAS, ?) or standard statistical software used in Sanofi (JMP, SIMCA, internal tools), to deliver statistical reports/memo Contribute to the development and support of statistical end-user tools (mainly RShiny) Participate to internal working groups and contribute to develop state-of-the art methodologies and statistical approaches Respect Policies, Standards, external guidelines and processes Presentation of statistical work package results to project team members and stakeholders About You Experience: Strong expertise in the field of non-clinical statistics applied to biopharmaceutical development Basic knowledge of pharmaceutical research and development process Scientific rigor and demonstrated level of independence to run statistical work packages For positions supporting Process Development/CMC consider the following: Proven expertise of industrial statistics (descriptive & inferential statistics, statistical process control), design of experiments, multivariate data analysis (PCA, PLS and related methods), statistical modelling and simulation Knowledge of CMC regulatory guidelines (EMA, FDA, ICH Quality, Pharmacopeias), QbD principles and ability to prepare statistical analysis for regulatory dossiers, Use of standard commercial software e-g JMP, SIMCA, MODDE Able to work in departmental computing environment, do advanced statistical analyses using R and possibly other languages (SAS, ?) Soft and technical skills: Excellent interpersonal and communication skills Education: Master in statistics or related discipline Languages: Fluent in English Why choose us Bring the miracles of science to life alongside a supportive, future-focused team, Discover endless opportunities to grow your talent and drive your career, whether its through a promotion or lateral move, at home or internationally, Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact, Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeksgender-neutral parental leave, Be part of a collaborative team Work for several sites internationally Be involved in crucial statistical activities for the company like in the regulatory dossiers null