20 Nextflow Jobs

Job Title: Senior Bioinformatician GCL: D2 Introduction to role Are you ready to tackle some of the most challenging informatics problems in the drug discovery clinical trial phase? Join us as a Senior Bioinformatician and be part of a team that is redefining healthcare. Your work will directly impact millions of patients by advancing the standard of drug discovery through data processing, analysis, and algorithm development. Collaborate with informaticians, data scientists, and engineers to deliver ground breaking solutions that drive scientific insights and improve the quality of candidate drugs. Are you up for the challenge? Accountabilities Collaborate with scientific colleagues across AstraZeneca to ensure informatics and advanced analytics solutions meet R&D needs. Develop and deliver informatics solutions using agile methodologies, including pipelining approaches and algorithm development. Contribute to multi-omics drug projects with downstream analysis and data analytics. Create, benchmark, and deploy scalable data workflows for genome assembly, variant calling, annotation, and more. Implement CI/CD practices for pipeline development across cloud-based and HPC environments. Apply cloud computing platforms like AWS for pipeline execution and data storage. Explore opportunities to apply AI & ML in informatics. Engage with external peers and software providers to apply the latest methods to business problems. Work closely with data scientists and platform teams to deliver scientific insights. Collaborate with informatics colleagues in our Global Innovation and Technology Centre. Essential Skills/Experience Masters/PhD (or equivalent) in Bioinformatics, Computational Biology, AI/ML, Genomics, Systems Biology, Biomedical Informatics, or related field with a demonstrable record of informatics and Image analysis delivery in a biopharmaceutical setting. Strong coding and software engineering skills such as Python, R, Scripting, Nextflow. Over 6 years of experience in Image analysis/bioinformatics, with a focus on Image/NGS data analysis and Nextflow (DSL2) pipeline development. Proficiency in cloud platforms preferably AWS (e.g. S3, EC2, Batch, EBS, EFS etc) and containerization tools (Docker, Singularity). Experience with workflow management tools and CI/CD practices in Image analysis and bioinformatics (Git, GitHub, GitLab), HPC in AWS. Experience in working with any multi-omics analysis (Transcriptomics, single cell and CRISPR etc ) or Image data (DICOM, WSI etc) analysis. Experience working with any Omics tools and databases such as NCBI, PubMED, UCSC genome databrowser, bedtools, samtools, Picard or imaging relevant tools such as CellProfiler, HALO, VisioPharm particularly in digital pathology and biomarker research. Strong communication skills, with the ability to collaborate effectively with team members and partners to achieve objectives. Desirable Skills/Experience Experience in Omics or Imaging data analysis in a Biopharmaceutical setting. Knowledge of Dockers, Kubernetes for container orchestration. Experience with other workflow management systems, such as (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions). Familiarity with web-based bioinformatics tools (e.g., RShiny, Jupyter). Experience with working in GxP-validated environments. Experience 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 AWS. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are driven by a shared purpose to push the boundaries of science and develop life-changing medicines. Our innovative approach combines ground breaking science with leading digital technology platforms to empower our teams to perform at their best. We foster an environment where you can explore new solutions and experiment with groundbreaking technology. With countless opportunities for learning and growth, you'll be part of a diverse team that works multi-functionally to make a meaningful impact on patients' lives. Ready to make a difference? Apply now to join our team as a Senior Bioinformatician! Date Posted 02-Jul-2025 Closing Date 30-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Job Description Associate Manager, Scientific Data Cloud Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres. Role Overview Our Engineering team builds core components used by our Research Labs data analytics, visualization, and management workflows. The analysis tools and pipelines built for data processing by our team in partnership with our scientists aim to accelerate research and the discovery of new therapies for our patients. We collect, annotate, analyze petabytes of scientific data (multi-omics, chemistry, imaging, safety) used in biomarker research, drug safety/efficacy, drug target discovery, and compendium diagnostic development. We help our scientists to process, analyze scientific data at scale by developing highly parallelized analytical workflows ran on HPC infrastructure (on-prem & cloud); to manage, explore and visualize various scientific data modalities by developing bespoke data models, bioinformatics ETL processes, data retrieval and visualization services using distributed micro-service architecture, FAIR data principles, SPA type dashboards, industry specific regulatory compliant data integrity, auditing, and security access controls. We are a creative and disciplined software engineering team, using agile practices and established technology stacks to design and develop large-scale data analytics, visualization, and management software solutions for local and on-cloud hosted HPC datacenters, as well as to integrate 3rd party analytical platforms with internal data workflows to address pressing engineering and data science challenges of life-science. We are looking for Software Engineers (SE) who can break down and solve complex problems with a strong motivation to get things done with a boots-on-the-ground, pragmatic mindset! Our engineers own their products end to end and influence the way how our products and technology are deployed to facilitate most aspects of drug discovery impacting hundreds of thousands of patients around the world. We are looking for engineers who can creatively handle complex dependencies and ambiguous requirements, competing business priorities, while producing fit-for-purpose, optimal solutions. We are hoping that you are passionate about collaborating across the interface between hard-core software development and research and discovery data analysis. What will you do in this role Design and implement engineering tools, applications and solutions that facilitate research processes and scientific discovery in several areas of our drug discovery process. Help drive the design and architecture of adopted engineering solutions with a detail-oriented mindset Promote and help with the adoption of development, design, architecture, and DevOps best practices, with a particular focus on agile deliver mindset Lead and mentor smaller team of developers (squads) to ensure timely and quality delivery of multiple product iterations Drive product discovery and requirements clarification for ambiguous and/or undefined problems framed with uncertainty. Manage technical and business dependencies and bottlenecks; balance technical constraints with business requirements; and deliver maximum business impact with solid customer experience Help stakeholders with go/no-go decisions on software and infrastructure by assessing gaps in existing software solutions (internal/external), by vetting technologies/platforms and vendor products Strong collaboration, organization skills in cross-functional teams; ability to effectively communicate with technical and non-technical audiences; work closely with scientists, peers, and business leaders in different geographical locations to define and deliver complex engineering features. What should you have Education: BS or MS in Computer Science/Bioinformatics Basic Qualifications MUST (Proficient (2+ years hands-on experience) w/ at least one language: Java (preferred), Python or C# with building CI/CD workflows with Jenkins or equivalent with using IaC frameworks (CloudFormation, Ansible, Terraform) to build microservice-architecture solutions with a focus on scientific data analysis and management to integrate AWS services (EC2/RDS/S3/Batch/KMS/ECS etc..) into production workflows SHOULD-HAVE (proven hands-on experience, at least 3 years) with these scripting languages: Python, Bash to build production workflows using Java/Python/ with Linux OS command line to drive API (REST, GraphQL, etc.) driven, modular development of production workflows and integration with 3rd party vendor platforms relational data models, ETL processing pipelines using PostgreSQL (preferred), Oracle, SQL Server, MySQL Proficient with pipelines-workflow: building, execution, maintenance, debugging Airflow, Nextflow, aws batch SOFT-SKILS MUST Strong collaborator, communicator, Strong problem-solving skills Experienced with making technical partnerships with research and business teams NICE TO HAVE: Prior experience with with non-relational database vendors (Elastic Search, etc..) with building resource intensive HPC analysis modules and/or data processing tasks with developing and deploying containerized applications (i.e., Docker, Singularity) with containerization platform: Kubernetes/Helm with end-to-end testing framework: Robot/Selenium What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Availability Management, Capacity Management, Change Controls, Design Applications, High Performance Computing (HPC), Incident Management, Information Management, Information Technology (IT) Infrastructure, IT Service Management (ITSM), Release Management, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Administration, System Designs Preferred Skills: Job Posting End Date: 08/15/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R353506

Qualification Masters related to Bioinformatics and Computational Biology Role & responsibilities - Combine and analyze multi-omics datasets to find common biological signals and actionable targets. - Classify disease and immune subtypes from both bulk and single-cell data using supervised and unsupervised machine learning methods. - Organize public datasets, evaluate analytical tools, and standardize workflows for clarity and reuse. - Conduct quality control, normalization, subtype and signature predictions across various sequencing platforms. - Create and maintain complete analysis pipelines for new technologies such as spatial transcriptomics - Search large consortia or databases for comparative studies and hypothesis generation. - Optimize resource use and job scheduling on Linux or HPC clusters; maintain version control and documentation. Preferred candidate profile - Programming & Scripting: R, Python, UNIX shell - Statistics & ML: Feature selection, clustering, predictive modeling, dimensionality reduction, survival analysis - Bulk & Single-Cell Analytics: RNA-seq, WES/WGS, methylation, proteomics, RPPA, scRNA-seq - Workflow & Reproducibility: Workflow managers, such as Nextflow or Snakemake, containers, Git - Data Resources: Major public repositories like TCGA and GEO, and internal cohort data management

Job title: Business Capability Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Business Capability manager associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability. Main Responsibilities Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts: Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., data catalog, master and reference data management, data products, etc.) and design innovative data solutions to support business prioritiesPartner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues Establish ways of working across all partner functions for specifically assigned capabilities/initiatives Annotate genomic variants (e.g., SNVs, indels, CNVs, SVs) using open source or proprietary tools on relevant databases to assess functional and clinical relevance Integrate genomic annotations with pathway databases, transcriptomic data, and disease ontologies to generate hypotheses about target biology and mechanism of action Work with multi-omics data sets (e.g., WES, WGS, RNA-seq, scRNA-seq) and curate data pipelines to ensure quality, consistency, and reproducibility of annotations Partner with wet-lab scientists, data scientists, and therapeutic area teams to deliver actionable insights for target validation, biomarker discovery, and patient stratification Contribute to the development and maintenance of automated workflows, reproducible pipelines and databases Document methodologies and present results in internal meetings, reports, and collaborative discussions with cross-functional stakeholders Deliverables Develops business case development, requirement identification, and use case development for business functions Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities Maintain genomic databases, pipelines, tools and platforms undefined About You Experience: M.S + 5 years or Ph.D. +3 years hands-on experience in bioinformatics, preferably in a pharma, biotech, or translational research setting Proficient in scripting languages (e.g., Python, R, Bash) and bioinformatics tools for genomic annotation Solid understanding of human genetics, disease biology, and functional genomics data sets Familiarity with ontologies and biological knowledgebases (e.g., GO, KEGG, Reactome, DisGeNET) Experience working with NGS data and variant interpretation in the context of drug discovery or precision medicine Experience with workflow languages (e.g., Nextflow, Snakemake, WDL), Knowledge of clinical genomics standards (e.g., HGVS nomenclature, ACMG classification) Familiarity with target identification and validation pipelines or biomarker discovery programs Familiarity with Pharma R&D processes and technology, Ability to build business relationships and understand end-to-end data use and needs Diplomatic and stakeholder management skills across business, technology, and partners Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills, Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such, Excellent interpersonal skills (team player) People management skills either in matrix or direct line function, M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Job title: Business Capability Manager Associate Location: Hyderabad About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary: The R&D Business Capability manager associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability. Main responsibilities: Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts: Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., data catalog, master and reference data management, data products, etc.) and design innovative data solutions to support business prioritiesPartner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues Establish ways of working across all partner functions for specifically assigned capabilities/initiatives Annotate genomic variants (e.g., SNVs, indels, CNVs, SVs) using open source or proprietary tools on relevant databases to assess functional and clinical relevance Integrate genomic annotations with pathway databases, transcriptomic data, and disease ontologies to generate hypotheses about target biology and mechanism of action Work with multi-omics data sets (e.g., WES, WGS, RNA-seq, scRNA-seq) and curate data pipelines to ensure quality, consistency, and reproducibility of annotations Partner with wet-lab scientists, data scientists, and therapeutic area teams to deliver actionable insights for target validation, biomarker discovery, and patient stratification Contribute to the development and maintenance of automated workflows, reproducible pipelines and databases Document methodologies and present results in internal meetings, reports, and collaborative discussions with cross-functional stakeholders Deliverables Develops business case development, requirement identification, and use case development for business functions Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities Maintain genomic databases, pipelines, tools and platforms undefined About you Experience : M.S + 5 years or Ph.D. +3 years hands-on experience in bioinformatics, preferably in a pharma, biotech, or translational research setting Proficient in scripting languages (e.g., Python, R, Bash) and bioinformatics tools for genomic annotation Solid understanding of human genetics, disease biology, and functional genomics data sets Familiarity with ontologies and biological knowledgebases (e.g., GO, KEGG, Reactome, DisGeNET) Experience working with NGS data and variant interpretation in the context of drug discovery or precision medicine Experience with workflow languages (e.g., Nextflow, Snakemake, WDL), Knowledge of clinical genomics standards (e.g., HGVS nomenclature, ACMG classification) Familiarity with target identification and validation pipelines or biomarker discovery programs Familiarity with Pharma R&D processes and technology, Ability to build business relationships and understand end-to-end data use and needs Diplomatic and stakeholder management skills across business, technology, and partners Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills, Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such, Excellent interpersonal skills (team player) People management skills either in matrix or direct line function, M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline

India - Hyderabad JOB ID: R-218685 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jun. 28, 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 redefining your career. What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires proficiency in code development (e.g. Python, R, etc), knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc.), and traditional Business Analyst activities such as requirements gathering and coordination between various departments. Additionally, the ability to work with cross functional teams and experience in agile practices is desired. Roles & Responsibilities: Develop software to transform and handle omics data (genomics, proteomics, transcriptomics) 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 infrastructure, applications, and services are reliable, maintainable, and well-integrated into existing platforms Gather requirements from business units and communicate to engineers via clear documentation Adhere to standard methodologies 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. The professional we seek is a with these qualifications. Basic Qualifications: Master’s degree and 4 to 6 years of Software Development, IT, or related field, experience OR Bachelor’s degree and 6 to 8 years of Software Development, IT, or related field, experience OR Diploma and 10 to 12 years of Software Development, IT, or related field, experience Preferred Qualifications: 2+ years of experience in Biopharma or Life sciences Functional Skills: Must-Have Skills: Proficiency in code development (Python, R), application frameworks such as Django and the software development best practices Proficient with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) and / or Databricks Experience with command-line interface on Linux-based systems Experience with cloud computing platforms and infrastructure Experience in CI/CD and git Experience with requirements gathering and communication across multiple teams Good-to-Have Skills: Experience in RESTFul API development e.g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, Airflow etc) Work experience in the biotechnology or pharmaceutical industry. Experience with LIMS systems (e.g. Benchling) 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 excellent communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals 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. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation.

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. 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. 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. The [vital attribute] professional we seek is a [type of person] with these qualifications. 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. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. 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 .

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. 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. 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. The [vital attribute] professional we seek is a [type of person] with these qualifications. 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. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. 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.

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: pipelines,pipeline orchestration tools (nextflow, snakemake),python,genomics,communication skills,bash scripting,ngs data analysis,linux,quality control,bioinformatics pipeline development,ngs,nanopore data analysis,genetics,literature review,bioinformatics pipelines,linux os,pipeline orchestration tools (nextflow or snakemake),grant writing,statistical analysis,genetic sequence interpretation,scientific literature interpretation,human genetics,bioinformatics,data management strategies,pipeline Show more Show less

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