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Sr. Scientist – Bioinformatics, Computational Biology, Proteomics

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Amgen
Full Time position
Listed on 2026-09-25
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Biotech Research
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.

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. Scientist – Bioinformatics, Computational Biology, Proteomics What You Will Do

Let’s do this. Let’s change the world.

Amgen is seeking a hands‑on bioinformatician to develop computational tools and data infrastructure to support the Discovery Proteomics Group. The successful candidate will combine strong scientific expertise in proteomics, bioinformatics, and drug discovery with software engineering skills to understand experimental and discovery needs and translate them into fit‑for‑purpose computational solutions. In this vital role, they will conduct statistical analysis, data ingestion, database and tool development, and computational pipeline implementation for proteomics data to support biomarker discovery, target evaluation, experimental design, and mechanism‑of‑action studies.

The successful candidate will join the Discovery Proteomics group at our South San Francisco campus.

Key Responsibilities

This role will enable Amgen’s preclinical pipeline through the delivery of innovative technologies and technical expertise. Responsibilities will include the development and implementation of data analysis, management, and visualization strategies for complex datasets generated by mass spectrometry and other technologies. The successful candidate will be expected to work closely with scientists from different functions and therapeutic areas, deliver and present analysis results to key stakeholders, collaborate across both genomic and proteomic platforms for data integration and mining, and utilize available external resources where appropriate.

What

we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Sr. Scientist – Bioinformatics, Computational Biology, Proteomics we seek is a scientifically driven, collaborative, and innovative expert.

Basic Qualifications

Doctorate degree

OR

Master’s degree and 3 years of scientific experience

OR

Bachelor’s degree and 5 years of scientific experience

Preferred Qualifications
  • PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology.
  • Expertise in large-scale quantitative proteomics and other omics data analysis.
  • Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages necessary for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches. Familiarity with deep learning packages is a plus.
  • Working knowledge of Unix/Linux and cloud computing (AWS) environments.
  • Experience in version control, Docker containers, and other best practices for coding project management, reproducible data analysis, and documentation.
  • Experience in…
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