676 Bioinformatics Jobs - Page 6

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are looking for a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics and Python/R/SAS is essential. Key Responsibilities Partner with the Clients’ Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing. Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas. Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. POC development or R package development for building internal capabilities and standardization of common modeling processes Lead & guide the team independently or with little support to implement & deliver complex project assignments. Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities. Provide thought leadership by contributing to whitepapers and articles at the BU and organization level Developing and delivering formal presentations to senior clients in both delivery and sales situations. Additional Information Interpersonal communication skills for effective customer consultation. Teamwork and leadership skills. Self-management skills with a focus on results for timely and accurate completion of competing deliverables. Make the impossible possible in quest to make life better. Bring Analytics to life by giving it zeal and making it applicable to business. Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact. Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients. Eligibility Criteria Required Experience ✓ Minimum of 4-7 years of experience in data analytics ✓ Desired 2-4 years of relevant experience in Healthcare/ Lifesciences/ Pharmaceutical domain. Technical Skills Proficient in Python or R for statistical and machine learning applications. Expertise in a wide range of techniques, including Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. Build & train neural network architectures such as CNN, RNN, LSTMs and Transformers. Experience in Omni Channel Analytics for predicting the Nest Best Action using the Advanced ML/DL/RL algorithms and Pharma CRM data Hands-on experience in NLP & NLG, covering topic modeling, Q&A, chatbots, and document summarization. Proficient in LLMs (e.g., GPT, Lang chain, llama index) and open-source LLMs Cloud Platforms: Hands-on experience in Azure, AWS, GCP, with application development skills in Python, Docker, and Git. Good To Have Skills Exposure to big data technologies such as Hadoop, Hive MapReduce etc. Qualifications B.Tech / Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics) Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,machine learning,omni channel analytics,nlg,nlp,gcp,sas,azure,hive mapreduce,aws,git,natural language processing,docker,llm,data analytics,deep learning,python,big data technologies,statistical modeling,generative ai,cloud platforms (azure, aws, gcp)

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role The Consultant - Forecasting is responsible for developing, delivering, and maintaining forecasts (patient-based, TRx-based, etc.) and business insights for Improzo’s clients. The Consultant will work with clients in forecasting, market research, market access and other cross-functional teams. The position involves managing client relationships and directly interacting with and presenting to client stakeholders. You will need to leverage your quantitative and qualitative skills to not only create and analyze number-driven models, but creatively develop methods/approaches and deliver the story as well – this needs to be accomplished through a combination of analyzing client-provided data and secondary desk research. Experience with IQVIA or Symphony data (e.g., Xponent, DDD) is required. Working knowledge of patient-level data is a plus. Key Responsibilities Project Management: Play an integral role in executing analytics/consulting engagements through effective and efficient project management. Generate forecasts, analysis and actionable insights that lead to the achievement of strategic and financial goals for our clients. Manage and coordinate complex consulting engagements through strong client and people management, subject matter expertise, communication skills (both written and verbal), and the ability to draw conclusions and recommendations from a variety of evidence. Operate effectively as part of a global team, by participating and contributing to client discussions and proactively helping them with their decisions in creating and/or validating assumptions. Provide robust competitive assessments and insights that inform key decision-making processes for clients such as strategic brand planning, forecasting, and lifecycle management. Perform in-depth (secondary) market research and data analysis to derive understanding of the disease and patient segments based on client requirements. Analyse and integrate primary research and secondary data with other market knowledge to draw inferences and conclusions. Identify risks and opportunities for the business and support key decisions on business strategy with customer and market insights. Leverage all relevant data such as DRG/IQVIA to provide insights into forecast assumptions. Forge effective relationships with various stakeholders (both internal and external), e.g., teams running Market Research initiatives. Ensure effective delivery of work (models and presentations) to clients onsite or through video/teleconferences, through self and others in accordance with the project timelines and quality parameters. Convert Excel models into presentable reports and PowerPoint slides for effective utilization by clients, focusing on the storyboarding and narrative. Leadership Will be responsible for overall leadership, talent development, skill advancement, and engagement and retention of talent in the team (in case acting in the capacity of a team lead). Foster learning mindset in the team to proactively develop research and story-telling skills, leveraging multiple sources of data to answer business questions. Develop new capabilities leveraging new sources of data and methods that include segment-level analysis, etc. Engage with internal and external stakeholders to build effective relationships to create win-win engagement models. Mentor/Guide team members who can benefit from your expertise and experience. Qualifications Bachelors/Masters in Pharma / other life sciences background (Biotechnology, Bioinformatics, etc.) or bachelor’s in engineering / B. Tech or Master’s in Business Administration. 3-4 years of relevant forecasting and commercial analytics experience. Experience building financial models (e.g., market sizing, sales, and profit forecasts) using Microsoft Excel and other tools. In-depth expertise in developing, implementing, and managing holistic strategies for modelling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting) in collaboration with life sciences teams. Broad experience in key functional areas of CI, analytics, and market research including the ability to understand and identify key business levers. Strong strategic skills including ability to see the big picture, along with conceptual and out-of-the-box thinking. Work experience in the US/European pharma industry is a plus. Ability to balance conflicting priorities. Proven people management skills. Other Competencies Entrepreneurial orientation. Excellent interpersonal and communication skills (written and verbal). Innovative and collaborative behavior, team player. Customer centricity and paying attention to details. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: skills,life sciences,data analysis,client relationship management,management,customer,excel,iqvia data,powerpoint,market access,forecasting,project management,research,market research,data

As a Field Bioinformatics Scientist at MGI, you will play a crucial role in designing, developing, optimizing, and maintaining in-house bioinformatics pipelines and various genomics applications. Your responsibilities will include understanding customer research questions, providing tailored solutions, and addressing technical issues from global sales and customers. You will collaborate with various teams such as FAS, FSE, Product Managers, and R&D to provide feedback, develop customized solutions, and support solution provision. Your role will also involve staying updated on sequencing, bioinformatics, MGI products, and industry trends, evaluating new software/tool suitability for different applications, and applying best-practice statistical and computational methods. Additionally, you will be responsible for providing technical pre-sales and post-sales support services, conducting training sessions and webinars for customers and the front-end sales team, and managing documentations such as training materials, FAQs, slides, videos, SOPs, and knowledge base content. The ideal candidate for this position should hold a Bachelor's degree or higher with at least 3 years of experience in academic or industrial settings in Bioinformatics, Computational Biology, Biostatistics, or Computer Science. You should have expertise in developing next-generation sequencing data analysis methods for DNA, RNA, and Long read analysis, along with proficiency in scripting languages like Python, bash, Perl, C++, and R. Excellent communication skills, the ability to work independently and collaboratively, manage tasks efficiently, and adapt to a fast-paced environment are essential for this role. Experience with version control systems such as Git, a wide range of bioinformatics tools, and proficiency in Linux operating systems like Ubuntu, Fedora, CentOS, etc., will be advantageous. At MGI, we believe in promoting advanced life science tools for future healthcare and transforming lives for the better. We encourage innovation, bold decision-making, and a commitment to improving the world we live in. Join us in leading life science innovation and contributing to a healthier and longer life for everyone. With a focus on transparency, fairness, and a friendly environment, we value our employees as partners and prioritize their physical and mental well-being. Embrace our agile management approach, enjoy independence with guidance, and foster a balanced life-work culture as we strive towards a brighter and more equal future together. #Omicsforall,

You will be joining a dynamic team working on a technology-driven platform within the biotech and life sciences sector. Leveraging AI and digital solutions, we aim to revolutionize scientific workflows. As the Chief Scientific Officer (CSO), you will be responsible for leading our Research and Development (R&D) efforts, defining our product strategy, and fostering industry partnerships. In this pivotal role, which is at a co-founder level, you will have significant ownership and wield strategic influence within the company. Your key responsibilities will include shaping the scientific and technical strategy for our cutting-edge biotech Software as a Service (SaaS) platform. By identifying market needs in biotech, pharma, and analytical sciences, you will guide our platform design, AI integration, and product development. Moreover, you will be tasked with establishing strategic partnerships with academic institutions, biotech firms, and research labs. Ensuring regulatory compliance, such as Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and International Organization for Standardization (ISO), will be part of your mandate. You will also be instrumental in devising monetization models and crafting business growth strategies for the company. The ideal candidate for this role would possess a PhD, MSc, or MTech in Biotechnology, Bioinformatics, Life Sciences, or related disciplines. Previous experience in scientific R&D, biotech startups, Contract Research Organizations (CROs), or pharmaceutical companies will be advantageous. Additionally, familiarity with SaaS, AI-driven tools, or digital solutions in the biotech and life sciences domains is highly desirable. A robust network within academia, biotech, and research organizations, coupled with a keen interest in business strategy and scaling technology-driven ventures, would make you an ideal fit for this position. In return for your contributions, we offer a competitive compensation package that includes Equity (Employee Stock Ownership Plans - ESOPs) or a Co-Founder-Level Stake. This role presents the opportunity to lead scientific innovation within a high-impact biotech startup. You will have the chance to spearhead the development of a scalable, AI-powered solution that caters to the scientific community, shaping the future of scientific research and digital transformation.,

We're Hiring! Software Engineer – UI & Protocol Control Development OmicsVeu | Hyderabad, India 🌟 About OmicsVeu: OmicsVeu is at the forefront of innovation in automated spatial biology and molecular pathology. Our cutting-edge systems, including NanoVip and NanoMtrx , empower labs worldwide to accelerate discoveries in precision oncology, multiplex assays, and molecular diagnostics. 🚀 Role Overview: We’re looking for a talented Software Engineer passionate about creating seamless, intuitive User Interfaces (UI) and robust automation protocol controls. Your work will directly enhance user productivity, lab workflow efficiency, and precision on our flagship NanoVip and NanoMtrx platforms. 📌 Key Responsibilities: Design, develop, and implement intuitive UI solutions for OmicsVeu’s instrument systems. Develop and maintain software for complex laboratory automation protocols. Collaborate with cross-functional teams (hardware engineers, scientists, product managers) to convert user needs into actionable software requirements. Perform rigorous software testing, debugging, validation, and documentation. Actively participate in all stages of software lifecycle—from conceptualization to deployment. 🎯 Qualifications: Bachelor’s/Master’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field. 3+ years experience in software development, ideally in laboratory automation, medical devices, or life sciences instrumentation. Proficiency in languages like VC++ with MFC, Python , C#, Java and modern UI frameworks on Windows or Linux platforms. Hands-on expertise in user-centric GUI development, automation control systems, and workflow software. Working knowledge of version control systems (e.g., Git, SVN). Familiarity with regulated software development standards (ISO 13485, FDA guidelines) is highly advantageous. Strong analytical, problem-solving, and communication skills. Ability to leverage AI tools for productivity enhancements, intuitive design, and efficient lab workflows. ✨ Why Join OmicsVeu? Work on groundbreaking platforms revolutionizing spatial biology and molecular diagnostics. Join a multidisciplinary team dedicated to precision oncology and diagnostics innovation. Collaborative, creative environment fostering professional growth. Competitive salary and comprehensive benefits. 🌐 Apply Today: Ready to shape the future of lab automation and diagnostics? Send your resume and a cover letter outlining your relevant experience - apply directly via LinkedIn: OmicsVeu is proud to be an equal-opportunity employer committed to diversity and inclusion. #Hiring #SoftwareEngineer #UIUX #Automation #LifeSciences #Bioinformatics #PrecisionOncology #HyderabadJobs #TechJobs #JoinOurTeam #OmicsVeu

As an Infrastructure Technology Consultant, you will be responsible for designing and implementing scalable infrastructure solutions using Azure to support scientific research projects. Your expertise in Azure Cosmos DB, MySQL, and MS SQL Server will be crucial in optimizing database performance and managing data storage solutions. In this hybrid role, you will collaborate with cross-functional teams to integrate cheminformatics and bioinformatics data into existing systems and ensure the reliability and security of our infrastructure. Your role will also involve monitoring system performance, troubleshooting issues, and minimizing downtime to enhance efficiency. Developing and maintaining documentation for infrastructure processes and procedures, implementing best practices for data management and storage, and conducting regular system audits to ensure compliance with industry standards and regulations are key responsibilities. You will support the deployment of new technologies and tools to enhance research capabilities, collaborate with researchers to understand their infrastructure needs, and provide tailored solutions. To excel in this role, you should demonstrate proficiency in Azure, Azure Cosmos DB, MySQL, and MS SQL Server, along with strong domain knowledge in cheminformatics and bioinformatics. Your problem-solving skills, attention to detail, ability to work effectively in a hybrid work model, communication, and collaboration skills are essential. Experience in managing and optimizing large-scale databases, a proactive approach to infrastructure management, and the ability to lead initiatives to improve infrastructure scalability and performance will be advantageous. Additionally, providing training and support to team members on infrastructure-related topics will be part of your responsibilities.,

1.To perform cleaning of Visual inspection equipment in fill finish facility. 2.To Perform visual inspection of Vials, PFS and Cartridge along with documentation. 3.Making entries in log books, batch packing record and status labeling. Required Candidate profile 1. Looking for smart and dynamic pharma fresher candidate. 2. Candidate should be very good in to written and oral english communication 3. Candidate should be very dynamic.

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 "Senior 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 Senior 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. 4"“6 years of experience in the pharmaceutical or life sciences industry, with a minimum of 4 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.

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.

Job Description Title: Manager Technology Integration Location: Hyderabad, India Job Main Objectives: In alignment with the companys strategy, the Manager Technology Integration will coordinate and execute genotyping, trait discovery, validation, and deployment of marker technology for vegetables and field crops. Working closely with breeders, genomics, bioinformatics, and pathology teams. Manager Technology Integration will focus on analysing trait genetics and assisting in the development of molecular breeding tools to accelerate genetic gain. The Manager Technology Integration will contribute to implementing molecular markers for routine applications and maintaining high-quality standards in genomics research. Key Responsibilities: The primary responsibilities for this position include, but are not limited to: Supporting the formulation and execution of the strategic Genomics Research and Application plan. Facilitating the transfer of tools and methods designed to improve breeding efficiency and speed to market. Executing molecular marker projects in collaboration with breeders. Contributing to the design and development of molecular markers for commercial traits in vegetable crops and filed crops. Assisting in the conversion from gel-based markers to SNPs and supporting the development of SNPs, QTL mapping, and WGS tools. Supporting the development and implementation of SSR and SNP markers for routine MAA/MABC applications, including testing stock seed purity and hybrid seed purity. Ensuring genomics research and application labs are well-maintained, up-to-date, and aligned with the companys strategic goals and budget. Ensuring lab records and protocols are accurately maintained and regularly updated. Assisting in identifying and assessing new technologies and partnership opportunities. Participating in research project stages, from conceptualization and initiation to validation and deployment of breeding tools and methods. Assisting breeders in implementing new molecular breeding methods and accelerating genetic gain. Supporting external collaborations with experts to accelerate trait discovery and tool development Experience and Education: MSc with minimum 5 years of experience handling the plant DNA marker technology experiments in vegetables or field crops PhD in molecular biology, plant genetics, or a closely related field preferred. Experience in SSR, SNPs, QTL mapping, and WGS technologies. Strong interactions with plant Biotechnology and genetics are an added advantage. Proven experience with Bioinformatics database management systems. Skills and Personal Characteristics: Results-driven and entrepreneurial mindset with demonstrated ability to set and manage priorities. Good interpersonal skills to communicate and collaborate effectively across levels and functions. Strong decision-making, communication, and presentation skills. Ability to work collaboratively in a dynamic environment to achieve mutual goals. High drive, energy, and persistence, with a focus on achieving results. Proven ability to maintaining and alignment with the company s core values and culture. Good focus on innovation and IP awareness.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Designation: Computational Biologist Full Time Opportunity Location: Full Time Job Description: - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Site Name: Bengaluru Luxor North Tower Posted Date: Jul 21 2025 Be You’ at GSK At GSK, we unite science, technology, and talent to get ahead of diseases together. We are a world leader in infectious diseases, including vaccines and HIV, with the broadest portfolio in the industry, pushing the frontiers of respiratory science and improving the lives of millions of patients, recognised for our ESG leadership, making an impact on some of society’s most urgent challenges We’re confident that together we can make a positive impact on the health of more than 2.5 billion people by 2031. When you set out on your adventure at GSK, we make a deal. You commit to living our values and performing against our Innovation, Performance and Trust priorities. In return, GSK commits to providing the right environment for you to thrive. Together, we build an environment where we can all thrive and focus on what matters most to each of us. Job purpose: As the Director, AIML & Decision Science - Global Functions (working closely with the Head of Data & AI for Global Functions and D&A leadership in GSK’s Global Capability Center), you will own and manage AI/ML competency, oversee design, development and deployment of AI/ML & Data Science Products for GSK’s Global Functions. Acting as a competency leader, for business functions and GSK’s Digital & Technology teams (which include Subject Matter Experts and external third-party organizations), you will work closely with senior business leaders (in Finance, Procurement, HR, Legal, Compliance, Risk Management, WREF etc) and various technology leaders to oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes leveraging GSK’s Enterprise Data Platform. Day-to-day you will use your AIML, data science, business domain and product development expertise to define and refine D&A product visions, strategies and roadmaps to drive the design and delivery of high-quality AI solutions (to enable the company to achieve its objectives. AI and Analytics products currently being delivered by the team include a range of AI and Analytics products, including conversational AI solutions, automation tools, forecasting models, and AI agents designed to achieve business objectives more efficiently than human efforts. Key Responsibilities: Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your AI/ML portfolio Manage across a portfolio of data products, identify synergies and dependencies, and manage successful delivery. Combining business understanding with knowledge of established and emerging AI/ML capabilities to identify and cultivate use-cases from ideas into potential D&A products Build and manage a team of AI/ML professionals, including data scientists, machine learning engineers, and researchers, ensuring they have clear objectives and the resources needed to succeed. Oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes Foster a culture of continuous learning and development within the AI/ML team, including mentoring and career growth opportunities Encourage a culture of innovation and experimentation within the team to explore new AI/ML techniques and applications Ensure that AI/ML practices adhere to ethical standards and comply with relevant laws and regulations, particularly regarding data privacy and security. Work closely with other departments, such as GP&T, product management, and business units, to integrate AI/ML solutions into the broader business strategy. Stay abreast of the latest developments in AI/ML technology and research to maintain a competitive edge and apply cutting-edge methods to solve business problems. Engage with internal partners to understand and probe business processes to develop hypotheses and bring structure to requests and translates requirements into an analytic approach Work collaboratively with business leaders in Identifying critical business problems that could be solved using Generative AI. Identify opportunities to leverage the latest Large Language Models (LLMs) Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&A Product Roadmap and backlog throughout the Product lifecycle Confirming delivery from development team meets the business requirements and creates the expected value in line with business KPIs Coaching and guiding wider Data, Analytics and AI teams, promoting a culture of continuous improvement Basic qualifications: We are looking for professionals with these required skills to achieve our goals: PhD in Computer Science, Applied Math, Economics, Statistics, Physics, Systems Biology, Computational Biology, Bioinformatics, or related field 18+ years of technical experience in delivering solutions involving Data Science, Machine Learning or Statistics 10+ years in managing cross-functional teams and leading the execution of highly visible complex projects, demonstrating strong project management. Strong relevant experience of Data & Analytics Product Development (ideally within a cloud environment like Azure) Domain knowledge in life science industry is preferred Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs. #LI-GSK Skills Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Operations, Model Evaluation, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. 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Position Summary We are seeking a motivated and detail-oriented Bioinformatician with 1.5–2.5 years of experience to support clinical NGS data analysis in a high-throughput environment. This role focuses on executing and optimizing analysis pipelines, curating clinical data, and collaborating closely with the reporting and genomics teams. The ideal candidate will be responsible for hands-on data processing and will contribute to the implementation of best practices in genomic analysis and data management. Key Responsibilities Curate and organize genomic and clinical data from multiple sources to support DNA-seq and RNA-seq interpretation. Execute and troubleshoot analysis of clinical samples using validated pipelines for Whole Exome Sequencing (WES), targeted gene panels, and transcriptome (RNA-Seq) data. Assist in developing and optimizing bioinformatics pipelines using tools such as DRAGEN , Nextflow , and Docker , with guidance from senior team members. Support the reporting team with genomic data interpretation by preparing visualizations (e.g., CNA graphs, allelic burden plots, fusion summaries). Stay updated on emerging tools and databases relevant to clinical NGS workflows and participate in knowledge sharing within the team. RequirementsTechnical Skills Programming/Scripting : Proficiency in Python and/or R*, with working knowledge of Shell scripting* and Git . Data Analysis & Statistics : Familiarity with libraries such as pandas , scikit-learn , and tidyverse for basic statistical analysis. NGS Tools : Experience with tools like GATK , BWA , STAR , Salmon , SAMtools , etc. Workflow Management : Exposure to workflow tools such as Nextflow , Snakemake , or basic Docker and Linux operations. Experience & Education Master’s degree (or equivalent) in Bioinformatics , Genomics , Computational Biology , or related field. 1.5 to 2.5 years of practical experience in clinical or applied NGS data analysis. Working knowledge of variant calling , CNV detection , and fusion analysis workflows. Soft Skills Strong attention to detail in data processing and documentation. Willingness to learn and contribute in a collaborative, cross-functional environment. Good communication skills and ability to coordinate with technical and clinical teams. Problem-solving mindset with curiosity to explore and improve workflows. Job Type: Full-time Benefits: Health insurance Work Location: In person

The University of Hong Kong Apply now Ref.: 532684 Work type: Full-time Department: School of Public Health (22400) Categories: Research Staff Hong Kong Research Assistant I/II (several posts) in the Division of Public Health Laboratory Sciences of the School of Public Health (Ref.: 532684) (to commence as soon as possible on a one-year temporary term or two-year fixed-term contract, with the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a Bachelor’s degree or higher in microbiology, bioinformatics, biomedical science, medical science, chemistry or related disciplines. Those with experience in both wet and dry laboratory environments are welcome. Prior experience in deep learning, microbial genomic analysis, metagenomic sequencing, anti-microbial resistance studies or bacterial phage-related studies (including isolation, characterization, and application) is advantageous. Applicants should be responsible, self-motivated and capable of working independently as well as collaboratively within a team. Strong communication skills in English or Chinese are essential. The appointees will assist in projects related to genomic sequencing. They will train staff and students in next generation sequencing techniques, provide research support to the research team, communicate with various laboratories based in mainland China, and undertake any other duties as assigned. Enquiries about the duties of the posts should be sent to Mr. Eric Yip at yiperic@hku.hk. Information about the School can be obtained at https://sph.hku.hk/. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. Appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 10% of basic salary. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date CV, together with a cover letter and a list of relevant research publications. Review of applications will start as soon as possible and continue until October 18, 2025 , or until the posts are filled, whichever is earlier. Advertised: Jul 19, 2025 (HK Time) Applications close: Oct 18, 2025 (HK Time) Back to search results Apply now Whatsapp Facebook LinkedIn Email App

Job Discription: Bachelor’s degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 7+ years of relevant experience in Generative AI and NLP Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must have Skills and Experience: Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches Strong programming experience in Python. Should have strong experience in Machine Learning and forecasting, with actual project experiences for application Strong in GenAI and NLP: Extensive experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Should be able to create APIs for backend Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation

Job title: Field Bioinformatics Scientist Location: Bengaluru, Chennai or Mumbai, India Employment type: Full Time Expand Your Horizons and Promote Advanced Life Science Tools for Future Healthcare with MGI #OMICS FOR ALL #Leading Life Science Innovation About BGI BGI Group was founded in 1999 in China with the vision of using genomics for the benefit of mankind and has since become the largest genomics organization in the world. With over 10,000 employees, BGI operates in more than 100 countries, focusing on research and applications in healthcare, agriculture, conservation, and environmental fields. BGI has a proven track record of innovative, high-profile research, which has generated over 3,800 publications, with 430+ publications in top-tier journals such as Nature, Science and Cell. Additionally, in the field of R&D, BGI was ranked No.1 among corporations in the life science/biotechnology sector in the Asia-Pacific region and No.5 worldwide by Nature Index. About MGI MGI is one of the subsidiaries of BGI Group, it is committed to building core tools and technology to lead life science through intelligent innovation. With a focus on R&D, production, and sales of DNA sequencing instruments, reagents, and related products, MGI provides real-time, panoramic, and full-life-cycle equipment and systems for precision medicine, precision agriculture, precision healthcare, and other relevant industries. MGI is a leading producer and one of the few companies in the world that can independently develop and mass-produce clinical high-throughput gene sequencers, its multi-omics platforms include genetic sequencing, medical imaging, and laboratory automation. Our Mission is to develop and promote advanced life science tools for future healthcare, and to transform people’s lives for the better. We don’t hesitate to make bold decisions that can help us achieve new breakthroughs. We believe that the success of our business will mean a better world for people to live in. Our Message to the world is simple: lead in life science innovation, make everyone’s life healthier and longer. Your duties as an FBS include but are not limited to the following: Design, develop, optimize, and maintain in-house bioinformatics pipelines and various genomics applications. Understand customer research questions and provide appropriate solutions or customized approaches. Respond to technical issues from global sales and customers, providing resolutions and recommendations. Liaise with FAS, FSE, Product Managers, and R&D to provide product feedback, develop customised solutions, and support solution provision. Maintain current knowledge in Sequencing, Bioinformatics, MGI products, and industry trends Evaluate new software/tool suitability for various applications, and apply best-practice statistical and computational methods. Provide technical (FPGA) pre-sales and post-sales support services. Provide training and webinars to customers and the front-end sales team. Assist with document management, including collecting and updating training materials, FAQs, slides, videos, SOPs, and knowledge base content. The successful candidates for this position can demonstrate: Bachelor's degree or above with 3+ years’ experience in academic or industrial settings in Bioinformatics, Computational Biology, Biostatistics or Computer Science, or equivalent experience. Experience in developing next-generation sequencing data analysis methods for DNA,RNA and Long read analysis. Experience with scripting languages, including Python, bash, Perl, C++ and R. Excellent communication skills and ability to describe complex process and result to audiences with diverse backgrounds. Ability to contribute independently and collaboratively, manage progress of assigned tasks, and work in a fast-paced environment. Experience with using version control systems such as Git. Knowledge and experience with a wide range of bioinformatics tools. Proficiency in using Linux operating system such as Ubuntu, Fedora, Centos, etc. Here at BGI, we value people and consider our employees as partners. We have created a transparent, fair, and friendly environment. We implement an agile approach to management, providing each partner with enough independence as well as guidance. We take care of our partners’ physical and mental health and are dedicated to a life-work balance corporate culture. Not only do we bring life science closer to people, but we also participate in various charity programs, advocate for nature preservation, and support equality. We condemn any form of discrimination and are committed to providing job opportunities to everyone regardless of sex, race, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and more. Let’s move to a brighter and more equal future together and deliver #Omicsforall

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Scientific Business Analyst (Specialist) – R&D Omics What You Will Do Let’s do this. Let’s change the world. This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics etc.) data. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentation, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: PhD with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Master’s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 6 - 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 4+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data Experience with bioinformatics tools and research workflows used to manage omics data Good understanding of database technology (e.g. RDBMS, Databricks) Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with cloud (e.g. AWS) and on-premise infrastructure Good-to-Have Skills: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Knowledge of handling GxP data and system validation (i.e. GCP) Understanding of AI and machine learning for drug discovery research and preclinical development In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience managing vendors, licenses in support of a Product team Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with platforms such as Benchling, or other LIMS Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

You have an exciting opportunity to join us as a Senior Software Engineer with expertise in Java within the Genomics/BioMedical domain. With a minimum of 6 years of experience, you will play a pivotal role in developing world-class software solutions that leverage genomic data for the betterment of human life. Your responsibilities will revolve around collaborating with scientists to understand requirements, developing data analysis strategies, and implementing bioinformatics data integration and analysis pipelines using Java and other relevant scripting languages. To excel in this role, you must possess a deep understanding of genomics, experimental data processing, high-throughput data analysis, and genomic databases. Your firm grasp of statistical analysis fundamentals, strong computational skills, and experience in data parsing, cleansing, modeling, analysis, and database design are essential. Proficiency in Unix/Linux, cluster computing, and multivariate statistics will be advantageous. Moreover, your expertise in object-oriented design and programming, development of multi-tier, scalable, browser-based applications, and experience with AWS will be highly valued. Your ability to work with scripting languages like Perl and Bash, alongside your enthusiasm for testing and testability, will set you apart. Additionally, your exceptional communication skills and the ability to work effectively within geographically distributed teams will be crucial. As a Senior Software Engineer, you will be responsible for designing and developing new software, creating high-level architectural specifications, and presenting results and methods effectively. Your role will involve representing the team in cross-organizational development forums, gathering customer requirements, and providing training to new software engineers. Your BS/MS in Computer Science, Physics, Mathematics, or related technical disciplines, along with your authentic, transparent, and collaborative approach, will be instrumental in driving innovation and success in this role. If you are a highly motivated individual who thrives in a fast-paced environment, possesses exceptional technical skills, and is passionate about leveraging technology for the betterment of human life, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact in the field of Genomics and BioMedical domain by sending your application to jobs@augustainfotech.com.,

Infrastructure Technology Consultant Hyderabad, India Job Summary Seeking an experienced Infrastructure Technology Consultant to join our team. The ideal candidate will have expertise in Azure Cosmos DB mySQL and MS SQL Server along with domain skills in Cheminformatics and Bioinformatics. This hybrid role involves working closely with cross-functional teams to optimize our infrastructure and support our scientific research initiatives. Responsibilities  Design and implement scalable infrastructure solutions using Azure to support scientific research projects.  Optimize database performance and manage data storage solutions using Azure Cosmos DB mySQL and MS SQL Server.  Collaborate with cross-functional teams to integrate cheminformatics and bioinformatics data into existing systems.  Provide technical expertise to ensure the reliability and security of our infrastructure.  Monitor system performance and troubleshoot issues to minimize downtime and enhance efficiency.  Develop and maintain documentation for infrastructure processes and procedures.  Implement best practices for data management and storage to support research and development activities.  Conduct regular system audits to ensure compliance with industry standards and regulations.  Support the deployment of new technologies and tools to enhance research capabilities.  Collaborate with researchers to understand their infrastructure needs and provide tailored solutions.  Lead initiatives to improve infrastructure scalability and performance.  Ensure seamless integration of new technologies into existing systems.  Provide training and support to team members on infrastructure-related topics. Qualifications  Demonstrate proficiency in Azure Azure Cosmos DB mySQL and MS SQL Server.  Possess strong domain knowledge in cheminformatics and bioinformatics.  Exhibit excellent problem-solving skills and attention to detail.  Show ability to work effectively in a hybrid work model.  Display strong communication and collaboration skills.  Have experience in managing and optimizing large-scale databases.  Demonstrate a proactive approach to infrastructure management.

Project Development of Microbiome-based Therapeutic Products for Commercialization Profile Jivanu Therapeutics Pvt. Ltd is looking for an accomplished and highly motivated Senior Research Scientist to join our R&D team in Bengaluru, Karnataka. This role offers a unique opportunity to contribute to cutting-edge biotechnology research in a rapidly growing and innovation-driven microbiome-based organization. The ideal candidate will have a strong scientific background, hands-on research experience in a biotech or life sciences domain, expertise in the field of microbiome, and a track record of impactful contributions from premier global institutions. Key Responsibilities Design, lead, and execute high-impact projects focused on product development through bacterial consortia isolation, individual strain isolation, and strain engineering. Experience working with stool samples is preferred. Analyze and interpret complex datasets; ensure high-quality documentation and reproducibility. Drive innovation by identifying and implementing advanced technologies, methodologies, or experimental strategies. Collaborate closely with cross-functional teams including bioinformatics, analytical sciences, and product development. Mentor junior researchers and contribute to a culture of scientific excellence. Present research findings to internal and external stakeholders; contribute to publications, patents, and scientific conferences. Assist with regulatory documentation, grant applications, and technology transfer initiatives. Why Join Us: Be part of a forward-thinking biotech company shaping the future of science and healthcare from Indias innovation hub. Work alongside internationally trained experts in a collaborative and research-driven environment. Access to modern infrastructure, cutting-edge tools, and a vibrant scientific community. Competitive salary, performance incentives, relocation support (if applicable), and career growth opportunities. Industry: Biotechnology Experience Level Senior Qualification Ph.D. in Microbiology, Biotechnology, Molecular Biology, Biochemistry, Bioengineering, or related field. Experience 3 or more years of relevant postdoctoral or industry experience, ideally with exposure to translational or applied research in the field of microbiome. Proven research excellence demonstrated through peer-reviewed publications, patents, or technology development. Strong hands-on expertise in microbiome techniques. Experience managing or leading scientific projects from concept to execution. Excellent communication and organizational skills. Preferred: Prior experience in consortia building, bacterial isolation, and microbiome therapies. Education or work experience at leading international institutions. Experience working in cross-border or multicultural teams. Familiarity with IP generation, regulatory pathways, or translational research pipelines. To Apply: Please submit your CV, a brief statement of research interests, and contact information for 23 professional references.

Job Title: Senior Clinical Data Scientist / Clinical Data Analyst Experience: 7+ Years Location: Bangalore / Chennai / Hyderabad / Noida / Gurgaon (India) Industry: Pharmaceutical / Healthcare / Life Sciences Employment Type: Full-time Job Summary: We are seeking a highly experienced and analytical Senior Clinical Data Scientist / Analyst with 7+ years of experience in clinical data analysis, pharmaceutical research, and data science methodologies . The ideal candidate will have hands-on experience working with EMR/EHR data , advanced SQL , and machine learning models to derive actionable insights that support clinical research and drug development. Key Responsibilities: Analyze and interpret complex clinical and EMR data to support real-world evidence (RWE), HEOR, and clinical trial analysis. Design and develop statistical and machine learning models to predict patient outcomes, drug efficacy, and safety. Perform deep-dive analytics using Advanced SQL (CTE, RANK, PARTITION) for cohort identification and data transformation. Collaborate with cross-functional teams including biostatisticians, clinical operations, and regulatory affairs. Ensure data quality and integrity from diverse sources like EMR, claims, lab systems, and clinical trial management systems (CTMS). Automate data pipelines and implement best practices in reproducible analytics. Create dashboards, data visualizations, and reports for stakeholders and medical affairs teams. Stay up to date with current industry trends in real-world data (RWD), clinical informatics, and regulatory requirements. Required Skills: 7+ years of experience in clinical data analytics or data science within the Pharma/Healthcare domain . Strong expertise in Advanced SQL : CTEs, Window Functions (RANK, DENSE_RANK, PARTITION BY), joins, subqueries. Experience working with EMR/EHR systems such as Epic, Cerner, Meditech, etc. Proficiency in Python, R , or SAS for statistical and machine learning modeling. Strong knowledge of clinical trial design , ICD/CPT coding , MedDRA , and pharmacovigilance datasets. Hands-on with machine learning frameworks (Scikit-learn, XGBoost, etc.) for prediction and classification tasks. Familiarity with regulatory guidelines such as HIPAA , GCP , and 21 CFR Part 11 . Experience with data visualization tools such as Tableau, Power BI, or Python-based dashboards . Preferred Qualifications: Master’s or Ph.D. in Data Science, Biostatistics, Bioinformatics, Public Health, or a related field . Prior experience in RWE/RWD analytics , HEOR studies , or pharma R&D analytics . Knowledge of CDISC SDTM/ADaM standards . Experience working with cloud platforms (AWS, Azure, GCP) and data lake architecture is a plus. Job Type: Contractual / Temporary Contract length: 12 months Schedule: US shift Application Question(s): What would your NP? Which location would you pick Bangalore / Chennai / Hyderabad / Noida / Gurgaon (India) Experience: Data science: 5 years (Preferred) Machine learning: 5 years (Preferred) EMR systems: 5 years (Preferred) Work Location: In person