Job Description

R0048403

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
 

Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.
 

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.

Job Description
 

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 are seeking an exceptional Postdoctoral Scientist to lead research focused on predicting and optimizingprotein–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 (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 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. 

 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 a discretionary annual bonus or discretionary stock-based long-term incentives.