Gilead Sciences · 2 days ago
Postdoctoral Scientist (Computational & Structural Bioinformatics)
San Francisco Bay Area
Full-time
Onsite
New Grad, Entry Level
$127K/yr - $164K/yrGilead Sciences is dedicated to creating a healthier world by tackling diseases and developing life-changing therapies. They are seeking a Postdoctoral Scientist to lead research in computational and structural biology, focusing on predicting and optimizing protein-protein interactions to advance the design of next-generation proteins and antibodies.
BiopharmaBiotechnologyHealth CareManufacturingPharmaceutical
Responsibilities
Develop advanced computational workflows for protein modeling, structural analysis, and molecular simulations
Apply machine learning and physics-based approaches to predict and optimize protein-protein interactions
Analyze large-scale biological datasets to uncover insights that guide experimental design
Validate computational predictions and generate critical training datasets in the lab
Optimize automated cloud-based pipelines for large-scale predictions and data processing
Publish and present your findings at top-tier conferences and journals
Qualification
Required
Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Biophysics, or related fields
At least one first-author publication in a peer-reviewed journal
Strong Python programming skills with extensive experience using scientific libraries (e.g., NumPy, SciPy, pandas) and deep learning frameworks including PyTorch and TensorFlow
Expertise in protein modeling tools (AlphaFold, RFDiffusion, Rosetta, PyMOL, etc)
Hands-on experience with molecular dynamics packages (AMBER, GROMACS, etc) is a plus
Familiarity with antibody structure and protein engineering principles
Proficiency in Linux environments and deploying workflows on HPC clusters
Excellent problem-solving and communication skills
Preferred
Experience with graph neural networks, diffusion models, or generative frameworks for antibody design and optimization
Knowledge of enhanced sampling techniques (Metadynamics, Umbrella sampling)
Understanding binding thermodynamics and free energy calculations
Experience and/or familiarity with approaches for affinity validation and screening in the lab (e.g. high throughput recombinant protein production, ELISA, SPR/BLI, flow cytometry, display technologies, NGS) - training provided as needed
Benefits
Company-sponsored medical, dental, vision, and life insurance plans
Company
Gilead Sciences
Gilead Sciences is a biopharmaceutical company that discovers, develops, manufactures and commercializes therapies for critical diseases.
Founded in 1987
10001+ employees
H1B Sponsorship
Gilead Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (269)
2024 (241)
2023 (222)
2022 (208)
2021 (235)
2020 (187)
Funding
Current Stage
Public CompanyTotal Funding
$4.41BKey Investors
Abingworth
2024-11-13Post Ipo Debt· $3.5M
2024-02-29Post Ipo Equity· $210M
2023-09-07Post Ipo Debt· $2B
Leadership Team
Keeley Wettan
Senior Vice President, Legal
Patrick Loerch
Senior Vice President, Clinical Data Science
Recent News
2026-01-09
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2026-01-07
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