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Senior Scientist - NGS Bioinformatics (Algorithm Development)

Amgen

Senior Scientist - NGS Bioinformatics (Algorithm Development)

full-timePosted: Jul 29, 2026Updated: Aug 28, 2026India - Hyderabad

Job Description

Career CategoryResearchJob DescriptionHOW MIGHT YOU DEFY IMAGINATION?If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.Senior Scientist - NGS Bioinformatics (Algorithm Development)LiveWhat you will doThe Bioinformatician – NGS (Algorithm Development) will support Large Molecule Discovery by designing, implementing, and optimizing computational methods for analysis of complex next-generation sequencing datasets. This role will focus on developing novel algorithms and analytical approaches for tasks such as short-read and long-read variant calling, clustering, sequence classification, and antibody design support.Working closely with bioinformatics principal scientists, software engineers, data scientists, and laboratory scientists, this individual will help evaluate and refine bioinformatic algorithms that turn sequencing data into actionable biological insight. The role combines scientific problem-solving, statistical analysis, and software development, and is well suited for someone who enjoys advancing new computational approaches in a research setting.In this role, your core responsibilities include:Develop and optimize computational methods for NGS analysis, including short- and long-read variant calling, clustering/de-duplication, immune repertoire analysis, assembly, and sequence classification.Design and benchmark algorithms to improve the accuracy, scalability, and interpretability of sequencing workflows and biological analyses.Build reproducible analytical code and support method validation and benchmarking.Collaborate with principal bioinformatics scientists and experimental stakeholders to define analytical strategies grounded in assay design and biological context.Partner with software engineers, data scientists, and laboratory scientists to translate research needs into computational solutions and assess emerging sequencing technologies.WinWhat we expect of youWe are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a subject matter expert with these qualifications.Basic Qualifications:Doctorate degree/ PHD with 6+ years relevant experienceOrMaster’s degree and 8+ years of directly related experienceOrBachelor’s degree with 10+ years of directly related experiencePreferred Qualifications:PhD with 6+ years of experience developing computational methods for NGS or other high-throughput biological data, with exposure to variant calling, immune repertoire analysis, or related analytical approaches.Strong understanding of short-read and long-read sequencing technologies and implications for data analysis.Experience benchmarking algorithms and evaluating performance using statistical, technical, and biological metrics.Familiarity with antibody discovery, protein engineering, or other biologically complex large molecule discovery workflows.Experience translating wet-lab or assay requirements into bioinformatic solutions.Familiarity with reproducible scientific computing practices, including version control, testing, and cloud- or container-based workflows.Experience communicating complex analytical results to scientific and technical audiences.ThriveWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.A discretionary annual bonus program, or for field sales representatives, a sales-based incentive planStock-based long-term incentivesAward-winning time-off plans and bi-annual company-wide shutdownsFlexible work models, including remote work arrangements, where possibleApply nowfor a career that defies imaginationObjects in your future are closer than they appear. Join us.careers.amgen.comApplication deadlineAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.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 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..

Locations

  • India - Hyderabad

Skills Required

  • antibody discoveryintermediate
  • reproducible scientific computing practicesintermediate

Required Qualifications

  • Doctorate degree/ PHD with 6+ years relevant experience (experience, 6 years)
  • Master’s degree and 8+ years of directly related experience (experience, 8 years)
  • Bachelor’s degree with 10+ years of directly related experience (experience, 10 years)

Preferred Qualifications

  • PhD with 6+ years of experience developing computational methods for NGS or other high-throughput biological data, with exposure to variant calling, immune repertoire analysis, or related analytical approaches. (experience, 6 years)
  • Strong understanding of short-read and long-read sequencing technologies and implications for data analysis. (experience)
  • Experience benchmarking algorithms and evaluating performance using statistical, technical, and biological metrics. (experience)
  • Familiarity with antibody discovery, protein engineering, or other biologically complex large molecule discovery workflows. (experience)
  • Experience translating wet-lab or assay requirements into bioinformatic solutions. (experience)
  • Familiarity with reproducible scientific computing practices, including version control, testing, and cloud- or container-based workflows. (experience)
  • Experience communicating complex analytical results to scientific and technical audiences. (experience)

Responsibilities

  • The Bioinformatician – NGS (Algorithm Development) will support Large Molecule Discovery by designing, implementing, and optimizing computational methods for analysis of complex next-generation sequencing datasets. This role will focus on developing novel algorithms and analytical approaches for tasks such as short-read and long-read variant calling, clustering, sequence classification, and antibody design support.
  • Working closely with bioinformatics principal scientists, software engineers, data scientists, and laboratory scientists, this individual will help evaluate and refine bioinformatic algorithms that turn sequencing data into actionable biological insight. The role combines scientific problem-solving, statistical analysis, and software development, and is well suited for someone who enjoys advancing new computational approaches in a research setting.
  • Develop and optimize computational methods for NGS analysis, including short- and long-read variant calling, clustering/de-duplication, immune repertoire analysis, assembly, and sequence classification.
  • Design and benchmark algorithms to improve the accuracy, scalability, and interpretability of sequencing workflows and biological analyses.
  • Build reproducible analytical code and support method validation and benchmarking.
  • Collaborate with principal bioinformatics scientists and experimental stakeholders to define analytical strategies grounded in assay design and biological context.
  • Partner with software engineers, data scientists, and laboratory scientists to translate research needs into computational solutions and assess emerging sequencing technologies.

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