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Senior Scientist - Computational Protein Design

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: BioSpace
Full Time position
Listed on 2026-09-20
Job specializations:
  • Research/Development
    Research Scientist, Biotech Research, Drug Discovery
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Join Amgens Mission of Serving Patients

At Amgen, if you feel like youre part of something bigger, its because you are. Our shared missionto serve patients living with serious illnesses drives all that we do.

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds 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, youll 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, youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Scientist - Computational Protein Design What You Will Do

Lets do this. Lets change the world. In this vital role you will develop and deploy automated computational pipelines for large-scale binder design, supporting the creation of diverse design candidates and libraries across multiple targets. Your work will directly enable discovery efforts by accelerating the generation of molecules used to probe novel biology and deliver new biological insights.

Key Responsibilities
  • Develop and automate ML protein design workflows for binder generation
  • Build scalable pipelines for designing large libraries of de novo proteins across multiple targets
  • Apply computational methods to support multiplexed screening strategies and receptor discovery efforts
  • Design and prioritize binders for individual targets and large target panels
  • Contribute to shared tools, workflows, and best practices within the protein design community
  • Collaborate closely with experimental scientists and data teams to enable rapid validation and iteration
What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The Senior Scientist we seek is a Researcher with these qualifications.

Basic Qualifications

Doctorate degree PhD

OR PharmD

OR MD [and relevant post-doc experience in Computational Biology, Structural Biology, Bioengineering, Biophysics, Computer Science, or related discipline with a focus on protein design]

OR Masters degree and 3 years of protein design experience

OR Bachelors degree and 5 years of protein design experience

Preferred Qualifications
  • Ph.D. with postdoc in Computational Biology, Structural Biology, Bioengineering, Biophysics, Computer Science, or related discipline with a focus on protein design.
  • Demonstrated experience in computational protein design, including the design of binders such as mini binders and/or antibodies.
  • Experience developing automated and scalable computational pipelines for protein design or structural modeling, ideally in high-throughput environments.
  • Familiarity with modern AI/ML-driven protein design and structure prediction tools (e.g., Alpha Fold, ProteinMPNN, RF diffusion, or similar frameworks).
  • Strong programming skills in Python and/or other scripting languages, with experience building maintainable workflows and automation for large-scale computational experiments.
  • Experience working with large protein libraries or multiplexed design strategies, including design filtering, ranking, and diversity optimization.
  • Knowledge of protein structurefunction relationships, epitope targeting strategies, and protein protein interaction design principles.
  • Experience integrating computational design outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches.
  • Familiarity with cloud computing, high-performance computing (HPC), and workflow orchestration tools.
  • Experience collaborating in cross-functional teams spanning computational scientists, experimental biologists, and data scientists.
  • Strong communication skills and ability to contribute to a collaborative protein design community, including sharing tools, best practices, and design insights.
What you can expect from 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…

Position Requirements
10+ Years work experience
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