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Postdoc In Usa Jobs in California (NOW HIRING)

Stanford University

Staff Scientist

Stanford, CA · On-site

... postdoctoral level) in at least one of the following areas of application: functional genomics ... Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees.

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What is the difference between Postdoc In Usa vs Research Scientist In Usa?

AspectPostdoc In UsaResearch Scientist In Usa
Required CredentialsPhD in relevant fieldMaster's or PhD, often with more industry experience
Work EnvironmentAcademic labs, universitiesIndustry labs, corporate R&D
Employer & Industry UsageUniversities, research institutionsPrivate companies, government agencies
Common Search & Comparison IntentAcademic research roles, postdoctoral opportunitiesIndustry research roles, career advancement

In summary, a Postdoc In Usa typically involves academic research with a PhD and focuses on advancing knowledge in a university or research institution. A Research Scientist In Usa often requires similar credentials but is more industry-oriented, working within corporate or government R&D settings for product development or applied research.

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Senior Scientist - Computational Protein Design

Senior Scientist - Computational Protein Design

Amgen

South San Francisco, CA • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
Amgen is a leading biotechnology company focused on serving patients with serious illnesses. In this role, you will develop and deploy automated computational pipelines for large-scale binder design, accelerating the generation of molecules to enhance discovery efforts in protein design.
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
Qualifications:
Required:
• 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 Master’s degree and 3 years of protein design experience
• OR Bachelor’s degree and 5 years of protein design experience
Preferred:
• 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 minibinders 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., AlphaFold, ProteinMPNN, RFdiffusion, 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 structure–function 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.
Company:
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. Founded in 1980, the company is headquartered in Thousand Oaks, USA, with a team of 10001+ employees. The company is currently Late Stage.

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