23 Statistical Software Jobs

1. Junior Research Fellow (JRF) (No. of Positions: 01) Project Technological advancement for the biomanufacturing of D-allulose, an ultra-low calorie functional sugar of anti-diabetic and anti-obesity potential Project investigator Prof. Sudhir Pratap Singh Qualifications: M. Sc. in any branch of life sciences from any reputed CSIR/UGC NET / GATE / or any other relevant/equivalent nature of test qualified. Responsibilities: Conduct high-quality research in molecular biology and industrial Design and execute experiments, analyze data, and interpret results. Collaborate with a multidisciplinary team of scientists and researchers. Present research findings and manuscript preparation. Assist in mentoring junior researchers and students. The selected JRF candidate may be allowed to enroll for PhD program as per Qualifications: Knowledge of molecular biology and enzyme kinetics technologies. Familiarity with bioinformatics tools and statistical software. Ability to work independently as well as part of a team. Excellent communication and interpersonal skills.

Data Analyst / Machine Learning Specialist Having meetings with team members regarding projects Collecting and interpreting data Automating and integrating processes Researching solutions to overcome data analytics challenges Developing complex mathematical models that integrate business rules and requirements Creating machine learning models Communicating and meeting with engineers, IT teams, and other interested parties Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders Experience in technologies like: Python Jupyter Machine Learning Algorithms SQL Data Visualization Statistical or Mathematical software

Data Analyst / Machine Learning Specialist Having meetings with team members regarding projects Collecting and interpreting data Automating and integrating processes Researching solutions to overcome data analytics challenges Developing complex mathematical models that integrate business rules and requirements Creating machine learning models Communicating and meeting with engineers, IT teams, and other interested parties Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders Experience in technologies like: Python Jupyter Machine Learning Algorithms SQL Data Visualization Statistical or Mathematical software

We are seeking a highly motivated and experienced scientist to join our team. The candidate will be responsible for converting business requirements into explanations and scenarios that are comprehensible to subject matter experts and can be later translated into user stories by business analysts. Collaborating with a team of subject matter experts to offer a researcher?s perspective, aiding in anticipating and identifying end-user requirements for software product development. Key Responsibilities Supporting R&D Activities: Supporting the software development team in executing proof of concept studies and contributing to the development process to create the final solution or software product. Participate in cross-functional brainstorming and contribute to product vision and roadmap. Reviewing and Signing off User Stories: Collaborating with subject matter experts and the development team to review user stories, ensuring alignment with desired business outcomes. Signing off on requirements based on the anticipated business benefits that the execution of those stories and epics will deliver. Showcasing Product Releases: Presenting product releases to stakeholders. Supporting Marketing/Business Development: Offering product and innovation expertise to support marketing and business development efforts. Participating in Prioritization and Planning Meetings: ?Actively participating in stakeholder meetings to triage and offer insights that assist in prioritizing and preparing the product roadmap for projects. Bridging Business Development and Product Development: Serving as a liaison between these two teams. Product Testing: Engaging in testing activities, including either direct testing or providing support to SMEs, QAs, and developers in testing the product before the final release. Offering domain expertise to assist QAs in writing effective test cases. Design and validate models or algorithms related to NLP, AI, machine learning, or data mining as applicable. Required Skills and Qualifications Ph.D. in a relevant?field (e.g., Life science, Engineering etc.). Proven experience in designing and conducting research projects. Proficiency in data mining and statistical software/tools. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and collaboratively in a team environment. Ability to convert theoretical concepts into practical, scalable software solutions. Demonstrated publication record in reputable scientific journals is preferred. Role? Research Scientist Product Development

The Senior Director for Finance and Private Sector in the CEF Program will be responsible for shaping and delivering WRI s work on increasing the quantity, quality and coherence of the financial system, across public, private, domestic and international, climate, nature and development finance The Senior Director will also be responsible for overseeing work supporting transitions in corporate business strategies They will provide thought leadership internationally and in WRI; strengthen WRI s analysis, convenings, partnerships and programs to support finance and private sector transformation; and grow and build a professional cadre of finance and private sector professionals within CEF, across WRI focus countries and within WRI s energy, cities, and food/land/water teams The Senior Director, Finance and Private Sector should bring a background in development and/or climate finance and an understanding of corporate transitions for people, nature and climate They should have a strong technical grounding in these issues with experience applying this knowledge in the context of emerging and developing economies, including experience working with Finance Ministries, Multilateral Development Banks and Development Finance Institutions, private sector financial institutions, companies, and other relevant senior actors

What you will do: Executing restoration finance strategy and projects (70%) - Support the execution of restoration finance and markets projects, from launch to completion, ensuring adherence to timelines, scope, financial compliance, quality standards. - Monitor and evaluate the performance of restoration finance projects, ensuring effective financial disbursement, risk management, and adherence to funding agency requirements. - Develop financial models and instruments to unlock funding for restoration, and its alignment with public funding - Support with comprehensive investment strategies, including identifying key public, private, and blended finance sources and modalities for restoration projects. - Explore knowledge gaps where WRI India s research can improve the quality and quantity of restoration finance available. - Monitor relevant international and national finance landscape, identifying strategic opportunities for the program to develop blending finance mechanisms - Co-author knowledge products (e.g., reports, briefs, data-products) - Identifying key public, private, and blended finance sources for restoration projects Program Management (20%) - Develop and implement work plans and procedures that enhance project delivery. - Assist with internal capacity building through workshops, training, and knowledge-sharing events focused on restoration finance. - Assist with ensuring compliance with reporting requirements for donors and other partners by preparing narrative reports and other materials to enhance donor relations and support with fundraising Partnership and engagement (10%) - Attend external meetings and travel related to ongoing projects. - Understand and promote the tools and solutions offered by the FLW program - Write and edit material including blog posts, op-eds, e-blasts and other compelling communications that serves to translate technical material for various audiences. What you will need: Master s degree in Business, Finance or Economics At least two years of work experience preferably in the environment, land use or development sector Strong verbal and written communication skills Proven track record of analysis, writing and working with interdisciplinary teams Data-driven approach to decision-making and continuous improvement. Ability to manage competing priorities in a fast-paced environment. Excellent communication and interpersonal skills for engaging with multiple partners.

Description The Trainee Academic Researcher position is an entry-level role designed for freshers who are passionate about research and eager to develop their skills in an academic environment. The successful candidate will assist in various research projects and gain hands-on experience in data collection, analysis, and academic writing. Responsibilities Assist in conducting academic research under the guidance of senior researchers. Collect, analyze, and interpret data to support research objectives. Prepare literature reviews and summarize findings from various sources. Contribute to the writing of research papers, reports, and presentations. Participate in team meetings and collaborate with other researchers. Stay updated with the latest research trends and methodologies in the field. Skills and Qualifications Strong analytical and critical thinking skills. Proficiency in research methodologies and statistical analysis. Familiarity with academic writing and citation styles (APA, MLA, etc.). Basic understanding of data analysis software (e.g., SPSS, R, or Python). Excellent verbal and written communication skills in English. Ability to work independently and as part of a team. Attention to detail and ability to manage multiple tasks effectively.

Not Applicable Specialism Managed Services Management Level Associate & Summary At PwC, our people in finance consulting specialise in providing consulting services related to financial management and strategy. These individuals analyse client needs, develop financial solutions, and offer guidance and support to help clients optimise their financial performance, improve decisionmaking, and achieve their financial goals. In economics consulting at PwC, you will apply economic principles and analytical techniques to offer advice and guidance to businesses, public agencies, or organisations. Your work involves conducting research, analysing data, and interpreting economic trends to help clients make informed decisions on various aspects such as financial strategies, market dynamics, policy implications, and resource allocation. Working in this area, you will be responsible for providing valuable insights into economic conditions, helping clients navigate challenges, optimise performance, and achieve their goals in a dynamic and everchanging economic landscape. Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. & Summary A career within Advisory, PwC has a large team that focuses on transformation in Government through Digital inclusion. The open position is for a candidate who desires to work with government as well as private sector clients and bring about a change in society. A successful candidate will be expected to work proactively and effectively on multiple client engagements over the period and take ownership of the entire project delivery he/she entrusted with Responsibilities Collect, clean, and compile quantitative and qualitative data from various sources. Conduct statistical analyses using tools such as Excel. Prepare analytical reports, dashboards, and visualizations to support decisionmaking. Contribute to the design and implementation of surveys and research studies. Draft technical documentation, handbooks, and project reports. Collaborate with crossfunctional teams to interpret data and provide actionable insights. Mandatory skill sets Strong command of statistical software and data management tools. Understanding of government data systems and policy frameworks. Excellent analytical and presentation skills. Preferred skill sets Strong command of statistical software and data management tools. Understanding of government data systems and policy frameworks. Excellent analytical and presentation skills. Years of experience required At least 2 to 3 years of experience in collection and compilation of data, data analysis, preparation of project reports and handbooks Education qualification Master s degree in Statistics, Economics, or a related field Education Degrees/Field of Study required Master Degree Degrees/Field of Study preferred Required Skills Statistical Software Accepting Feedback, Active Listening, Communication, Conducting Research, Customer Relationship Management, Economic Forecasting, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Project Management, Quantitative Modeling, Report Writing, Strategic Data Analysis, Strategic Thinking, Teamwork, Well Being No

Jubilant Biosys is looking for Trainee Research Associate to join our dynamic team and embark on a rewarding career journey. As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects. Conduct research studies and analyze data using a variety of research methods and tools. Analyze and interpret data using statistical software and other analytical tools. Prepare reports and presentations summarizing research findings and conclusions.

Job Area: Engineering Group, Engineering Group > Quality Assurance Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Quality Engineer, you will plan, implement, and manage compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, quality, and regulatory standards for worldwide distribution. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer expectations. Minimum Qualifications: Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 4+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 3+ years of Quality Engineering or related work experience. OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. Preferred Qualifications: Master's degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. 8+ years of Quality Engineering or related work experience. 3+ years of experience working in a large matrixed organization. 2+ years of experience with data modeling in statistical software such as MS Excel, Minitab, etc. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). ISO 90012015 Internal Auditor, ISO 26262 Functional Safety Internal Auditor, Automotive SPICE Internal Auditor. Black Belt/Six Sigma certification. ASQ (e.g., CQE or CRE) certification or equivalent. Principal Duties and Responsibilities: Leverages advanced Quality Engineering knowledge and experience to plan, implement, and manage critical compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, security, and regulatory standards. Designs, implements, and maintains advanced methods and procedures for inspecting, testing, and evaluating the precision and accuracy of critical designs, production processes, production equipment, and finished products. Performs advanced analyses of reports and data to identify critical trends and drives updates or control changes to quality standards and procedures. Ensures quality integration into the overall functions of design, development, process, and production. Identifies trends, defects, or problems in a wide range of processes, products, and customer feedback/customer returns and plays a central role in driving the effort to resolve defects or problems. Collaborates with cross functional teams to provide high quality products and timely resolution of R&D/line/market failures to meet customers quality expectations. Develops and/or delivers training material, process documents, and templates for ISO certifications and/or external certifications; delivers training for multiple products or processes. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Role & responsibilities Collect, clean, and validate data from multiple sources to ensure quality and accuracy. Design and implement statistical models and methodologies to solve real-world problems. Analyze trends, patterns, and relationships in complex data sets. Develop and apply predictive and inferential models. Communicate findings through reports, visualizations, and presentations. Collaborate with cross-functional teams, including data scientists, researchers, business analysts, and management. Stay current with developments in statistical methodologies, software tools, and best practices. Provide guidance on experimental design and data collection strategies. Ensure compliance with data governance, privacy laws, and industry regulations. Preferred candidate profile Masters degree in Statistics, Mathematics, Data Science, or a related field (PhD preferred for advanced research roles). Proven experience in statistical analysis, modeling, and experimental design. Proficiency in statistical software such as R, SAS, Python, or SPSS. Strong knowledge of probability theory, hypothesis testing, regression, and multivariate analysis. Experience with data visualization tools (e.g., Tableau, Power BI, ggplot2, matplotlib). Excellent problem-solving, communication, and organizational skills. Ability to translate complex statistical concepts into actionable business insights.

Ripple Healthcare is looking for User Research Intern to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions Conduct in depth research to gather insights into user behavior and preferences. Analyze data to inform product development and improve user experiences.

Role requires a good understanding of actuarial pricing concepts including cashflows of life insurance products. Role requires effective management of various stakeholders requirements. Therefore, quick turn-around-time without compromising accuracy of deliverables is necessary. Building pricing model in excel/prophet/R Assist in assumptions setting for pricing Preparation of filing documents Building / Validation of excel calculators for Benefit Illustration Handling customer/IT queries related to benefit calculations Assisting IT and Modelling team in setting up the Products Meeting any pricing related regulatory requirement within specified timelines Meeting any requirements from management regarding new products within timelines Good working knowledge in MS-Excel, MS-Word and other MS-Office softwares. Knowledge of Prophet, R is preferred. Good drafting, reporting and communication skills. Able to champion the use of technology within the function to improve the business performance 6- 8 years of relevant experience in a life insurance company with at least 3 years of experience in product pricing. _

1. Performing in-depth secondary research analysis and primary research through telephonic interviews surveys, and questionnaires 2. Analyze data using statistical software and tools 3. Updating the structure and content of the report as per industry expectations/standards and feedback. 4. Should have the sound aptitude and a good logical approach. 5. Experience required from the Market Research industry only. 6. Immediate joiners are preferred for the positions. 7. Must have sound knowledge of Microsoft Excel.

We are seeking a self-motivated, highly passionate, and experienced Research Manager to lead research initiatives at the centre in the field of finance and accounting. The successful candidate will play a crucial role in managing and coordinating research projects, ensuring they align with the centre s mission to advance knowledge and influence practice. Under the overall guidance of the Centre Team, the Research Manager will be responsible for the development, execution, and dissemination of high-quality research outputs, bridging the gap between academia, industry, and regulatory bodies. Main Job Responsibilities: Work on research papers that align with the centre s goals from inception to completion while ensuring timely and high-quality delivery. Utilize advanced analytical methods to interpret data and generate insights. Prepare comprehensive reports, policy briefs, and case studies. Contribute to the Centre s annual report. Foster strong relationships with industry partners, regulatory agencies, and academic institutions. Network with research scholars and professionals within India and internationally. Organize seminars, workshops, and roundtables for research dissemination and discussions on topical issues. Essential Qualifications: A full-time postgraduate degree in finance, accounting, or economics from a well-reputed university within India or abroad. Skills: Ability to lead independent research on topical issues in the area of finance and accounting Strong command of econometric techniques and statistical software such as R / Stata / Python, along with MS Office proficiency Problem-solving skills, analytical thinking, and a process-oriented approach Ability to work both independently and as part of a team, and to manage multiple tasks Excellent communication skills, both oral and written, along with experience in report writing, creating infographics, and developing concept notes and policy briefs. Experience in organizing seminars, stakeholder workshops, or conferences

Summary The Principal Biostatistician is responsible for all statistical work, scientific and operational, for one or more assigned trials in collaboration with the clinical trial team. May support project level deliverables for a development project with supervision. Leads implementation of modern and innovative clinical trial/experimental designs, statistical models, analyses and data exploration at the study level. About the Role Major Accountabilities:- 1. Study level: a. Responsible for all statistical tasks on assigned trials, and perform these tasks independently seeking peer input/review as required. Responsible for protocol development in alignment with the development plan, developing statistical analysis plans, reporting activities. Contribute to planning and exe-cution of exploratory analyses, and/or PK, PK/PD analyses, exploratory bi-omarker and diagnostic analyses, and statistical consultation. Initiate, drive and implement novel methods and innovative trial designs in alignment with the Lead Statistician. b. Explain statistical methodology and interpret analysis results. Provide statisti-cal expertise to support submission activities and documents, meetings with and responses to Health Authorities and other drug development activities, as required. c. Contribute to interactions with external review boards/ethics committees, ex-ternal consultants and other external parties with oversight as appropriate. Represent Novartis in statistical discussions at external congresses, confer-ences, scientific meetings. d. Represent the Biostatistics & Pharmacometrics Line Function on cross-functional teams for the assigned trials. Responsible for functional alignment and ensuring line function awareness of status and issues related to the as-signed trials. e. Collaborate with other line functions. Explain statistical concepts in manner easily understood by non-statisticians and provide adequate statistical justifi-cations for actions/decisions/statements as required. f. Establish and maintain sound working relationships and effective communica-tion within the Clinical Trial Team and Biostatistics & Pharmacometrics team. g. Oversee all Biostatistics resources and deliverables for assigned trials. En-sure timeliness and adequate quality of all Biostatistics deliverables for the assigned trials and/or non-clinical related activities. 2. Project level: a. Contribute to project level activities as needed. b. Contributes to project team preparation for HA Advisory Committees and meetings. 3. Franchise or Global Line Function level: Contribute to initiatives at global line function level 4. Enterprise level: a. Participate in non-clinical project activities as needed b. Contribute to the review and implementation of health authority guidance c. Promote the use and the acceptance of innovative methods within the organization, through scientific collaborations, publications in scientific peer re-viewed journals and presentations at professional meetings 5. External level: a. Contribute to interactions with external review boards/ethics committees, ex-ternal consultants and other external parties with oversight as appropriate. b. Represent Novartis in statistical discussions at external congresses, confer-ences, scientific meetings. 6. People Management: Mentor new hires and/or junior Statisticians Minimum Requirements: 1. Influences decisions that directly impact the assigned clinical trial and team ability to deliver objectives. 2. Proven knowledge and expertise in statistics and its application to clinical trials. Depending on the assignment, may require proven expertise in pharmacokinetics, exposure-response modelling, exploratory biomarker, diagnostic analyses, applied Bayesian statistics, or data exploration skills. Proficiency in use of statistical software packages (e. g. SAS, R). Knowledge of drug development and Health Authority guidelines. Able to work on and collaborate seamlessly with a multidisciplinary team to achieve team objectives. 3. Experience in Franchise/Therapeutic Area and/or regulatory activities desirable. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork. novartis. com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

The Senior Manager - Monitoring & Evaluation (M&E) is responsible for designing, implementing, and managing a comprehensive M&E system to track the performance and impact of programs and projects. This role ensures that learning and evidence drive continuous program improvement and organizational growth. The Senior Manager will lead a team, develop frameworks, oversee data collection and analysis, and support donor reporting requirements. Key Responsibilities: Strategic Leadership: Lead the design and implementation of M&E strategies, frameworks, and systems aligned with organizational goals. Develop logical frameworks, KPIs, and theories of change for programs and projects. Integrate adaptive learning approaches and ensure utilization of M&E findings to improve program quality and impact. Monitoring & Evaluation Systems: Design and manage data collection tools and processes, including digital platforms where needed Ensure regular monitoring, analysis, and evaluation of program activities against targets Develop and oversee program dashboards, scorecards, and real-time reporting mechanisms Capacity Building: Build and strengthen M&E capacity across project teams through training, coaching, and support Create user-friendly guides, templates, and resources for program staff. Data Management and Analysis: Ensure data quality through effective verification, validation, and cleaning protocols Lead qualitative and quantitative data analysis to generate actionable insights Prepare high-quality reports, case studies, and evaluation summaries for internal and external audiences. Reporting and Compliance: Lead the preparation of M&E sections for donor proposals, reports, and evaluations. Ensure compliance with donor requirements and international M&E standards. Research and Learning: Design and manage evaluations, baseline studies, impact assessments, and special studies Foster a culture of learning and evidence-based decision-making within the organization. Required Qualifications and Experience: Masters degree in Social Sciences, Development Studies, Public Policy, Statistics, or a related field Minimum 8-10 years of relevant experience in Monitoring & Evaluation roles, preferably in the NGO, development, or social impact sector. Proven experience designing and implementing M&E systems for multi-donor, multi-sectoral projects Strong analytical skills and expertise in statistical software (e.g., SPSS, STATA, R) and data visualization tools (e.g., Power BI, Tableau). Experience with digital data collection platforms (e.g., KoboToolbox, CommCare, ODK). Excellent written and verbal communication skills. Demonstrated leadership abilities with experience managing teams and building capacity. Desired Competencies: Strategic thinking and problem-solving abilities Strong attention to detail and data-driven mindset Ability to manage multiple tasks under tight deadlines Collaborative, with excellent interpersonal and facilitation skills Familiarity with participatory M&E approaches and human-centered design is an advantage.

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Quality Engineer, you will plan, implement, and manage compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, quality, and regulatory standards for worldwide distribution. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer expectations. Minimum Qualifications: Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 4+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 3+ years of Quality Engineering or related work experience. OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. Preferred Qualifications: Master's degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. 8+ years of Quality Engineering or related work experience. 3+ years of experience working in a large matrixed organization. 2+ years of experience with data modeling in statistical software such as MS Excel, Minitab, etc. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). ISO 9001:2015 Internal Auditor, ISO 26262 Functional Safety Internal Auditor, Automotive SPICE Internal Auditor. Black Belt/Six Sigma certification. ASQ (e.g., CQE or CRE) certification or equivalent. Principal Duties and Responsibilities: Leverages advanced Quality Engineering knowledge and experience to plan, implement, and manage critical compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, security, and regulatory standards. Designs, implements, and maintains advanced methods and procedures for inspecting, testing, and evaluating the precision and accuracy of critical designs, production processes, production equipment, and finished products. Performs advanced analyses of reports and data to identify critical trends and drives updates or control changes to quality standards and procedures. Ensures quality integration into the overall functions of design, development, process, and production. Identifies trends, defects, or problems in a wide range of processes, products, and customer feedback/customer returns and plays a central role in driving the effort to resolve defects or problems. Collaborates with cross functional teams to provide high quality products and timely resolution of R&D/line/market failures to meet customers quality expectations. Develops and/or delivers training material, process documents, and templates for ISO certifications and/or external certifications; delivers training for multiple products or processes. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Description Responsibilities: Gather and manage data from various sources related to inventory and supply chain. Develop and implement statistical models and techniques to solve complex problems. Apply statistical methodologies to analyze inventory data and identify trends and patterns. Develop predictive models to forecast inventory needs based on historical data and market trends. Review current safety stock models and Inventory Optimization Models and suggest other techniques that are available with use cases Utilize inventory management software and statistical tools (e.g., R, SAS, SPSS) to track and analyze data. Interpret and present data findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to provide statistical insights and recommendations. Qualifications REQUIRED Masters degree in Statistics, Mathematics, Economics, Supply Chain or a related field. Proven experience in statistical analysis and data interpretation in areas specific to Saf

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

To facilitate the process of transparent and evidence informed decision making in the field of health, Government of India has created an institutional arrangement called the Health Technology Assessment in India (HTAIn) under the Department of Health Research (DHR). HTAIn is entrusted with the responsibility to collate and where needed generate evidence related to the clinical effectiveness, cost-effectiveness, and safety of medicines, devices and health programs using the Health Technology Assessment (HTA) approach. Indian Institute of Public Health, Hyderabad has been selected as a hub of HTAIn with the mandate of carrying out HTA for government and various other relevant agencies in that region. Qualification: Essential: PhD/Masters in Economics /Development Economics/Public Health with specialization in Health Economics, Health Financing and Health Policy. Desirable: Publication in reputed peer-reviewed journals will be given weightage Experience: Essential: Working post-degree in Health Economics research projects at middle to senior researcher level for 2-3 years. For PhD in Economics the post-PhD experience can be relaxed to 1 years provided the thesis was aligned to any public health project or programme and there are publication(s) from it Academic review (scoping and systematic) Competence at biostatistics/econometrics with fluent use of statistical software (preferably R and STATA) with working knowledge of large datasets.:

DESCRIPTION The Current Product Reliability Engineer plays a vital role in ensuring the reliability and durability of Cummins' products by applying sound statistical tools, warranty data analysis, and technical insights. This role focuses on reliability data analytics for various products, identifying failure trends, reporting to leadership, and supporting improvement initiatives. Working under the guidance of experienced team members, the engineer will contribute to customer satisfaction and product excellence by driving fact-based decisions and proactive problem-solving. Key Responsibilities Apply engineering and scientific methods to analyze reliability data and ensure component and system reliability meets defined targets. Perform warranty data analysis, life data analysis, and reliability analytics using statistical methods and tools. Present analysis reports to leadership teams, explain problems identified, and recommend corrective actions. Support the development of methods, processes, and tools that quantify and enhance product reliability. Work collaboratively with cross-functional teams including Service, Quality, Finance, Marketing, and Design Engineering. Apply statistical and reliability analysis techniques to evaluate the impact of design changes on reliability. Support root cause analysis and corrective/preventive actions for reported product failures. Assist problem-solving teams in assessing reliability risks and defining mitigation strategies. Support the development and execution of reliability test plans, including accelerated testing and field data validation. RESPONSIBILITIES Competencies Applies Principles of Statistical Methods: Uses descriptive statistics, probability distributions, inference, and regression analysis for data-driven decisions. Product Failure Mode Avoidance: Identifies and mitigates potential failure modes and causes to improve reliability. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and supports rigorous failure analysis and problem resolution processes. Product Problem Solving: Applies systematic approaches to protect customers, resolve issues, and prevent recurrence. Product Reliability and Reliability Risk Management: Contributes to reliability planning and validation for new and current products. Quantitative Reliability Analysis: Applies statistical models to assess failure rates, compare alternatives, and validate improvements. Reliability Test Planning: Designs reliability test plans, including accelerated and field testing, to uncover and address unknown failure modes. Customer Focus: Builds strong relationships and delivers customer-centric solutions. Global Perspective: Approaches challenges with a broad, global view. Values Differences: Recognizes and appreciates diverse perspectives and cultures in problem-solving. Skills and Experience Basic relevant work experience through internships, co-ops, or professional roles. Knowledge of engine and Genset components, functions, and failure modes. Experience in Service and Quality functions is desirable. Proficiency in MS Office (Word, PowerPoint, Excel). Advanced Excel skills including VBA programming and Power Pivot are highly desirable. Exposure to statistical software packages such as Minitab, Weibull++, Winsmith, JMP, and R is preferable. Knowledge of engine performance measurement techniques is an advantage. Awareness of warranty data analysis and life data analysis methods is preferable. Proven ability to handle large datasets and extract meaningful insights. QUALIFICATIONS Qualifications Bachelors or masters degree in engineering (Mechanical, Electrical, Industrial, or a related field) or equivalent technical discipline. Six Sigma Yellow Belt certification is required; Green Belt certification is preferred. This position may require licensing for compliance with applicable export controls or sanctions regulations. Desired Candidate Profile 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. Monitor field performance, warranty, and return data to identify emerging reliability issues. Understanding of 7QC tools, 8D/7Step problem solving techniques, RCA, FTA, IDFEMA etc. 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..