12 Nextflow Jobs

India - Hyderabad JOB ID: R-217551 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 10, 2025 CATEGORY: Information Systems 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. Sr Associate Software Engineer-R&D Omics What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms Adhere to best practices for testing and designing reusable code What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role requires proficiency in code development (e.g. Python, R, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, the ability to work with cross functional teams and experience in agile practices is desired. Basic Qualifications: Master’s degree and 1 to 3 years of in Software Development, IT, or related field, OR Bachelor’s degree and 3 to 5 years of in Software Development, IT, or related field, OR Diploma and 7 to 9 years of in Software Development, IT, or related field. Preferred Qualifications: 2+ years of experience in biopharma or life sciences Experience in RESTFUL API development e.g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc) Experience with Databricks Experience with cloud computing platforms and infrastructure Experience with Application development (Django, RShiny, Ploty Dash, etc) Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Agile Framework Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with good communication 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. 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.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. 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 purpose-led and values-driven 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. Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets ML Ops, AI / ML Preferred Skill Sets ML Ops, AI / ML Years Of Experience Required 4 - 8 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Full Stack Development Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. 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 purpose-led and values-driven 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. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Responsibilities ML engineer: 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets Gen AI, Python Preferred Skill Sets Gen AI, Python Years Of Experience Required 3 - 5 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Role Responsibilities: Develop tools to analyze and visualize omics data using Python, R, and SQL Build and optimize cloud-based data pipelines and workflows (e.g., Nextflow) Create RESTful APIs and integrate systems using tools like Flask or MuleSoft Collaborate with cross-functional teams using Agile practices Key Deliverables: Scalable and maintainable bioinformatics applications Automated cloud pipelines for large-scale omics datasets Reusable modules adhering to CI/CD and testing best practices Well-documented and version-controlled code for reproducibility

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. 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 purpose-led and values-driven 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. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Responsibilities ML engineer: 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets Gen AI, Python Preferred Skill Sets Gen AI, Python Years Of Experience Required 3 - 5 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. 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 purpose-led and values-driven 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. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Responsibilities ML engineer: 3-5 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow. Knowledge on text Analytics, NLP, Gen AI Mandatory Skill Sets Gen AI, Python Preferred Skill Sets Gen AI, Python Years Of Experience Required 3 - 5 Education Qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Biotechnology Full-Time Job ID: DGC00516 Chennai, Tamil Nadu 6-8 Yrs ₹07 - ₹10 Yearly Job description We are seeking an experienced Bioinformatics Technical Lead to drive our computational biology initiatives. The ideal candidate will have 68 years of industry or academic experience (PhD or Masters in a relevant field) with a proven track record in developing and refining high-throughput pipelines for omics data, including RNA-seq, methylation, and new NGS modalities. This highly technical position requires creativity and an aptitude for developing novel computational algorithms. You will work directly with distinguished professors from leading institutions such as MIT, Caltech, Harvard, and others. This role is primarily an individual contributor position with limited leadership responsibilities, guiding a small team (24 highly qualified bioinformaticians) in a technical capacity rather than acting as a full-time manager. Key Responsibilities Pipeline Development & Optimization Design, implement, and optimize scalable, production-grade pipelines for NGS data analysis (RNA-seq, whole-genome, whole-exome, methalomics, NIPT development, novel PCR analysis etc.). Ensure reproducibility, efficiency, and accuracy of computational workflows. Algorithm & Data Analysis Develop and apply novel computational algorithms for gene expression profiling, variant calling, haplotype calls and other genomic analyses. Perform rigorous data mining and statistical analyses to extract actionable insights from large datasets. Technical Leadership Guide and mentor junior bioinformaticians and computational scientists. Conduct code reviews, provide technical feedback, and champion best practices across the team. Collaboration & Cross-Functional Engagement Work closely with molecular biologists, data scientists, and software engineers to translate project goals into robust computational strategies. Communicate results, provide data-driven recommendations, and contribute to scientific publications and intellectual property (as appropriate). Quality & Compliance Maintain high standards of data integrity, documentation, and version control. Implement quality control checks and validation strategies for all workflows. Required Qualifications Education: PhD in Bioinformatics, Computational Biology, Computer Science, or related field; or Masters degree with significant, demonstrable experience. Experience: 6-8 years of hands-on experience analyzing high-throughput NGS data, with an emphasis on RNA-seq. Proven track record of developing and deploying production-level bioinformatics pipelines. Technical Skills: Strong programming background in at least one major language. Familiarity with HPC clusters or cloud computing environments. Expertise in data mining, machine learning, or statistical modeling techniques relevant to genomics. Leadership & Communication: Prior experience in a lead role, supervising or mentoring junior team members. Excellent written and oral communication skills for technical and non-technical audiences. Preferred Qualifications Experience working in a regulated environment (e.g., CLIA, CAP, or similar). Familiarity with workflow management systems (e.g., Nextflow, Snakemake, Cromwell). Knowledge of containerization technologies (Docker, Singularity) and CI/CD pipelines. Publications or patents in computational genomics or related areas. Soft Skills Demonstrated ability to work in a fast-paced, collaborative environment. Strong problem-solving and critical-thinking abilities. Adaptability and willingness to embrace new technologies and methodologies.

We are in search of a Lead Data Scientist to become an integral part of our team, significantly impacting biomarker discovery and translational research. Joining a forward-thinking organization, the ideal candidate will apply their deep knowledge in biology, clinical trial analysis, statistics, and bioinformatics to elevate our platform's performance, delivering crucial insights that support oncology drug development and enhance patient outcomes. Responsibilities Apply knowledge of molecular biology, clinical trial analysis, bioinformatics, and statistics to develop sophisticated biomarker analysis pipelines Elevate and maintain computational pipelines utilizing Python, Nextflow, and SQL databases Present scientific findings in easily understandable formats Collaborate with biologists, bioinformaticians, statisticians, and engineers to customize computational methods according to clinical and biological specifications Clearly communicate methodologies and results to a varied audience Employ AI and prompt engineering to advance biomarker discovery initiatives Deploy flexible AI solutions to address computational challenges Ensure computational and statistical methods are robust, reproducible, and maintain scientific integrity Continually update knowledge to remain at the cutting edge of computational biology, AI, and translational research Requirements Bachelor’s and advanced degrees (MSc or PhD) in bioinformatics, computational biology, statistics, or related disciplines with a strong academic foundation Over 5 years of problem-solving expertise in bioinformatics and data science with a focus on biomarker development Over 1 year of pertinent leadership experience Established expertise in clinical trial data analysis Proficiency in statistical techniques and machine learning methods, including survival analysis, Random Forest, and Gradient Boosting Skills in Python and SQL, with some familiarity with Nextflow Demonstrated capability to develop automated data analysis workflows Strong competencies in data integration and manipulation Fluent English communication skills at a B2+ level Nice to have Demonstrated expertise in AI technologies Ability to lead multidisciplinary project teams Background in using Amazon Web Services We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

We are in search of a Lead Data Scientist to become an integral part of our team, significantly impacting biomarker discovery and translational research. Joining a forward-thinking organization, the ideal candidate will apply their deep knowledge in biology, clinical trial analysis, statistics, and bioinformatics to elevate our platform's performance, delivering crucial insights that support oncology drug development and enhance patient outcomes. Responsibilities Apply knowledge of molecular biology, clinical trial analysis, bioinformatics, and statistics to develop sophisticated biomarker analysis pipelines Elevate and maintain computational pipelines utilizing Python, Nextflow, and SQL databases Present scientific findings in easily understandable formats Collaborate with biologists, bioinformaticians, statisticians, and engineers to customize computational methods according to clinical and biological specifications Clearly communicate methodologies and results to a varied audience Employ AI and prompt engineering to advance biomarker discovery initiatives Deploy flexible AI solutions to address computational challenges Ensure computational and statistical methods are robust, reproducible, and maintain scientific integrity Continually update knowledge to remain at the cutting edge of computational biology, AI, and translational research Requirements Bachelor’s and advanced degrees (MSc or PhD) in bioinformatics, computational biology, statistics, or related disciplines with a strong academic foundation Over 5 years of problem-solving expertise in bioinformatics and data science with a focus on biomarker development Over 1 year of pertinent leadership experience Established expertise in clinical trial data analysis Proficiency in statistical techniques and machine learning methods, including survival analysis, Random Forest, and Gradient Boosting Skills in Python and SQL, with some familiarity with Nextflow Demonstrated capability to develop automated data analysis workflows Strong competencies in data integration and manipulation Fluent English communication skills at a B2+ level Nice to have Demonstrated expertise in AI technologies Ability to lead multidisciplinary project teams Background in using Amazon Web Services We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less

Position - Scientist I Human Genomics Location - Navi Mumbai | Work From Office Who Are We Based out of IIT Bombay, HaystackAnalytics is a HealthTech company creating clinical genomics products, which enable diagnostic labs and hospitals to offer accurate and personalized diagnostics. Supported by India's most respected science agencies (DST, BIRAC, DBT), we created and launched a portfolio of products to offer genomics in infectious diseases. Our genomics based diagnostic solution for Tuberculosis was recognized as one of top innovations supported by BIRAC in the past 10 years, and was launched by the Prime Minister of India in the BIRAC Showcase event in Delhi, 2022. What We Want You To Do Analyze and manage the NGS / Nanopore data using relevant pipelines. Develop customized pipelines and workflows and tweak current pipeline filters for NGS and Nanopor analysis Help in developing and executing various data management strategies Identify the databases, tools, catalogs, and their reliability in future and help the research team in data collection strategies. Interpret genetic sequence variations identified through the pipelines Check quality and accuracy of the data Work in conjunction with team members to ensure consistent result generation Work in conjunction with wet lab and tech teams to ensure smooth operations and development work Troubleshoot issues related to data analysis tools and software Review literature for new technologies in the field of Bioinformatics Write grants and papers in the company Creating documentation and maintaining it What Are We Looking In You PhD in Genetics/Genomics or related fields or 8+ years of experience in the field of human genomics/genetics Experience with building bioinformatics pipelines for various kinds of NGS data Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, complete deadlines, and comply with company policies Experience of 1-2yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus Skills: ngs data analysis,nanopore data analysis,bash scripting,pipeline,scientific literature interpretation,data management strategies,genomics,pipeline orchestration tools (nextflow, snakemake),grant writing,bioinformatics pipeline development,pipelines,human genetics,pipeline orchestration tools (nextflow or snakemake),ngs,genetics,python,bioinformatics,statistical analysis,genetic sequence interpretation,linux,bioinformatics pipelines,communication skills,linux os Show more Show less

Perform data analysis on large-scale biological datasets, including genomics, transcriptomics, and proteomics data. Develop and implement bioinformatics pipelines for data processing and interpretation. Assist in the development of scripts and software tools to automate data analysis tasks. Collaborate with researchers and scientists to interpret and visualize results. Contribute to research documentation, including reports and presentations. Stay up to date with the latest bioinformatics tools, methods, and technologies. What are we looking in you Completed a Master degree in Bioinformatics or a related field. Strong programming skills in languages such as Python, R, or Perl. Familiarity with bioinformatics tools and databases (e.g., BLAST, NCBI, Ensembl, etc.). Understanding of next-generation sequencing (NGS) data analysis. Basic knowledge of statistics and data visualization. Excellent problem-solving skills and attention to detail. Note: This is a paid internship.Skills: data visualization,ngs data analysis,bash scripting,perl,genomics,nextflow,version control tools (github),databases,human and population genetics,human genetics,nanopore analysis,linux,population genetics,pipeline orchestration tools (nextflow/snakemake),genetics,database management,ngs,r,github,python,tools for analyzing microbial genomes,statistics,bioinformatics tools,snakemake,bioinformatics,next-generation sequencing (ngs) data analysis,building,tools for analyzing human genomes Show more Show less

Job Title: Lead Consultant - HPC Application Engineer Career Level: E Introduction to role Join our dynamic Research Data & Analytics Team within R&D IT, a global group of skilled data and AI engineers dedicated to revolutionizing the way we discover and develop medicine. Our mission is to partner with scientific teams to deliver innovative capabilities, products, and platforms that accelerate the development of safe and effective medicines for patients. Scientific Computing Platform The Scientific Computing Platform (SCP) is a key component of our efforts, providing high-performance computing (HPC) solutions that support computational chemistry, imaging, multi-OMICs, structural biology, data science, and AI. About The Platform The SCP team provides the high-performance computing (HPC) platform and optimised applications on which scientists build their workflows. We are driven to accelerate scientific discovery, and achieve this through rapid deployment of applications, optimisation of complex workflows and application tuning for very large problems. An overarching principle is to maximise the impact of the team's support efforts. We are seeking a passionate HPC engineer focussed on applications and research software engineering. The ideal candidate will have extensive hands-on experience making an impact with HPC technology, delivering HPC services to a high quality, and able to relate to the scientific community and work closely with users to make the best use of research computing services. The HPC landscape is continually evolving. You will need the skills to help build, optimise and operate industry-leading capabilities, including application build frameworks, containerised applications and cloud software-as-a-service. Automated deployment is a key feature of your work and you will need to be comfortable with DevOps processes and delivering consistency through automation and infrastructure-as-code. A strong focus of the role will also be working directly with scientific users to help them optimise and productionise their code and make best use of the facility. Accountabilities As an HPC Application Engineer, you will be responsible for developing, delivering, and operating research computing services and applications. You will take a Site Reliability Engineering approach to manage the end-to-end development, deployment, monitoring, and incident response of HPC services. Your role will involve solving complex technical problems related to SCP applications and services, as well as assisting users in debugging and optimizing their workflows and applications. You will work closely with scientific users to help them optimize and productionize their code, ensuring they make the best use of our research computing services. Essential Skills/Experience Scientific application installation, optimisation and configurationEffective use of HPC job schedulers such as SLURMExperienced working in a Linux environmentCompetent in multiple programming and scripting languages from the following list: python, R, Shell Scripts, C/C++, Golang, and deep expertise in at least one of themDeep understanding of the factors influencing HPC application performanceHighly customer focused; able to explain IT technical concepts in a manner which non-IT experts can understand Desirable Skills/Experience Scientific degree, and/or experience in computationally intensive analysis of scientific dataPrevious experience in high performance computing (HPC) environments, especially at large scales (>10,000 cores)Experience with high performance parallel filesystems at petabyte scale, e.g. GPFS, LustreHands-on knowledge of a range of scientific and HPC applications such as simulation software, bioinformatics tools or 3D data visualisation packagesExperience with software build frameworks such as Easybuild or SpackExpertise in GPU, AI/ML tools and frameworks (CUDA, TensorFlow, PyTorch)Strong understanding of parallel programming techniques (e.g. MPI, pthreads, OpenMP) and code profiling/optimisationExperience with workflow engines (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions)Familiarity with container runtimes such as Docker, Singularity or enrootExpertise in specific scientific domains relevant to early drug development, such as deep learning, medical imaging, molecular dynamics or 'omics.Experience with frameworks for regression tests and benchmarks for HPC applications, like Reframe HPCExperience with working in GxP-validated environmentsExperience administering and optimising a HPC job scheduler (e.g. SLURM)Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit)Experience deploying infrastructure and code to public cloud, especially AWSHands-on experience working in a DevOps team and using agile methodologies At AstraZeneca, we demonstrate technology to impact patients' lives directly by transforming our ability to develop life-changing medicines. We empower our teams to perform at their peak by combining cutting-edge science with leading digital technology platforms and data. Our dynamic environment encourages innovation and ownership, providing countless opportunities to learn and grow. Join us in our mission to reinvent the industry and make a meaningful impact on the world. Ready to make a difference? Apply now!