Gilead Sciences
Postdoctoral Scientist (Computational & Structural Bioinformatics)
Gilead Sciences, San Francisco, California, United States, 94199
Post Doc Scientist (Computational & Structural Bioinformatics)
Join to apply for the
Post Doc Scientist (Computational & Structural Bioinformatics)
role at
Gilead Sciences .
Location:
Foster City, CA Term:
3-Year Fixed Term
About The Role Join a pioneering team at the forefront of computational and structural biology, driving innovation to transform therapeutic discovery. We seek an exceptional Postdoctoral Scientist to lead research focused on predicting and optimizing protein–protein interactions using cutting‑edge approaches that combine physics‑based modeling, machine learning, and experimental validation, advancing the design of next‑generation proteins and antibodies.
This position is a joint appointment between Research Data Sciences and Protein Therapeutics, providing a unique opportunity for cross‑functional collaboration and exposure to diverse expertise.
As a Postdoctoral Scientist, you will have the freedom to design and lead an independent research project, publish in high‑impact journals, and work alongside world‑class scientists across computational and experimental disciplines. Your contributions will directly shape the future of biologics and antibody therapeutics.
What You’ll Do
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.
Basic Qualifications
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 (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 Qualifications (one or more of the following)
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.
Compensation and Benefits The salary range for this position is: $126,820.00 – $164,120.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may be eligible for paid time off and a benefits package. Benefits may include company‑sponsored medical, dental, vision, and life insurance plans. This position is not eligible for discretionary annual bonus or discretionary stock‑based long‑term incentives.
Benefits information is available upon request.
Equal Employment Opportunity Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non‑job‑related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
Notice: Employee Polygraph Protection Act
Your rights under the Family and Medical Leave Act
#J-18808-Ljbffr
Post Doc Scientist (Computational & Structural Bioinformatics)
role at
Gilead Sciences .
Location:
Foster City, CA Term:
3-Year Fixed Term
About The Role Join a pioneering team at the forefront of computational and structural biology, driving innovation to transform therapeutic discovery. We seek an exceptional Postdoctoral Scientist to lead research focused on predicting and optimizing protein–protein interactions using cutting‑edge approaches that combine physics‑based modeling, machine learning, and experimental validation, advancing the design of next‑generation proteins and antibodies.
This position is a joint appointment between Research Data Sciences and Protein Therapeutics, providing a unique opportunity for cross‑functional collaboration and exposure to diverse expertise.
As a Postdoctoral Scientist, you will have the freedom to design and lead an independent research project, publish in high‑impact journals, and work alongside world‑class scientists across computational and experimental disciplines. Your contributions will directly shape the future of biologics and antibody therapeutics.
What You’ll Do
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.
Basic Qualifications
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 (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 Qualifications (one or more of the following)
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.
Compensation and Benefits The salary range for this position is: $126,820.00 – $164,120.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may be eligible for paid time off and a benefits package. Benefits may include company‑sponsored medical, dental, vision, and life insurance plans. This position is not eligible for discretionary annual bonus or discretionary stock‑based long‑term incentives.
Benefits information is available upon request.
Equal Employment Opportunity Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non‑job‑related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
Notice: Employee Polygraph Protection Act
Your rights under the Family and Medical Leave Act
#J-18808-Ljbffr