Senior Scientist - NGS Bioinformatics (Algorithm Development)

Amgen Inc. (IR)

Hyderabad

On-site

INR 2,500,000 - 4,200,000

Full time

14 days+
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Benefits offered by this job

Retirement and Savings Plan
Medical, dental, and vision coverage
Life and disability insurance
Flexible spending accounts
Remote work arrangements

Job summary

Amgen Inc. (IR) invites a Senior Scientist - NGS Bioinformatics (Algorithm Development) to join the team in Hyderabad.

The role focuses on designing, implementing, and optimizing computational methods for analysis of complex NGS datasets, including variant calling, clustering, and antibody design support. You will work with bioinformatics scientists, software engineers, and laboratory staff to translate research needs into scalable solutions.

Qualifications

  • PhD with 6+ years in computational methods for NGS or high-throughput data.
  • Strong knowledge of short-read/long-read sequencing and data analysis implications.
  • Experience benchmarking algorithms with statistical/biological metrics.

Responsibilities

  • Develop and optimize computational methods for NGS analysis including variant calling, clustering, and immune repertoire analysis.
  • Design and benchmark algorithms to improve accuracy, scalability, and interpretability of sequencing workflows.
  • Build reproducible analytical code and support method validation and benchmarking.
  • Collaborate with bioinformatics scientists and experimental stakeholders to define analytical strategies grounded in assay design.

Skills

Bioinformatics
NGS analysis
Algorithm development
Collaboration
Scientific communication

Education

PhD in relevant field
Master's with 8+ years related experience
Bachelor's with 10+ years related experience

Tools

Cloud computing
Containers
Version control

Job description

Career Category Research Job Description

HOW 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) Live
What you will do

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.
What we expect of you

We 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 experience
  • Or Master's degree and 8+ years of directly related experience
  • Or Bachelor's degree with 10+ years of directly related experience
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.
  • 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.
Application deadline

Amgen 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.

Equal Opportunity Employer

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.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.

Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.

For more information, visit www.amgen.com and follow us on www.twitter.com/amgen

Objects in your future are closer than they appear. Join us.

What you can expect of us

As 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 plan Stock-based long-term incentives Award-winning time-off plans and bi-annual company-wide shutdowns Flexible work models, including remote work arrangements, where possible
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