Senior Scientist, AI/ML (Biologics Design)

Job Description: Senior Scientist, AI/ML(Biologics Design) We'reseekinga highly motivated computational scientist to advance machine learning methods for the design and optimization of biologic therapeutics, including antibodies, multispecifics, and emerging protein modalities. This role is focused on the development and application of modern AI approaches spanning protein language models, structural learning, generative modeling, and multimodal data integration. You will work at the interface of machine learning, protein engineering, and drug discovery to build models that guidemoleculedesign, improve developability, and accelerate candidate optimization. The ideal candidate combines strong machine learningexpertisewith a deep interest in protein therapeutics and a passion for translating computational innovation into experimental impact.

Key Responsibilities: Develop novel machine learning approaches to supportbiologicsdiscovery and lead optimization. Apply and extend protein language models, foundation models, andrepresentationlearning methods for therapeutic protein design. Build predictivemodelslinking sequence, structure, and experimental measurements to key molecular properties. Develop structure-aware learning approaches that incorporate protein conformation, interfaces, and molecular context. Design and evaluate generative methods for exploring protein sequence space and proposing improved therapeutic candidates. Integrate diverse data sources, including sequence, structure, biophysical characterization, developability assessments, and functional screening datasets. Implement active learning and data-efficient modeling strategies for discovery programs with limited experimental data. Work closely with protein engineers, structural biologists, assay scientists, and computational researchers to drive project decisions and accelerate molecule optimization. Contribute to the scientific direction of AI-enabled biologics design within Research Data Sciences.

Required Qualifications: Ph.D. in Computational Biology, Machine Learning, Computer Science, Structural Biology, Biophysics, Bioengineering, or a related quantitative field. Demonstrated experience developing and applying machine learning methods to biological or molecular problems. Strong programming skills in Python and experience with modern ML frameworks such asPyTorchor JAX.Experience building, training, and evaluating deep learning models, including representation learning, geometric learning, multimodal learning, or generative modeling approaches. Strong understanding of protein structure and sequence-function relationships. Proven scientific productivity through publications, open-source contributions, or impactful research projects. Excellent communication and collaboration skills within multidisciplinary scientific teams.

Preferred Qualifications: Experience working with protein language models and foundation models for proteins or antibodies. Familiarity with modern structure-based AI approaches, including AlphaFold-class models, inverse folding methods, geometric neural networks, or generative protein design frameworks. Experience in antibody engineering, multispecifictherapeutics, protein optimization, orbiologicsdiscovery. Experiencemodelingdevelopability-related properties such as stability, aggregation, solubility, viscosity, immunogenicity, or molecular liabilities. Experience integrating experimental datasets with machine learning workflows to support design-build-test-learn cycles. Familiarity with antibody sequence analysis, repertoire-scale datasets, or therapeutic protein databases. The salary range for this position is: $169,320.00 - $219,120.00. 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 also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: https://www.gilead.com/careers/compensation-benefits-and-wellbeing* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: 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 ormentaldisability, geneticinformation 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 contactApplicantAccommodations@gilead.comfor assistance. For more information about equal employment opportunity protections, please view the'Know Your Rights'poster.

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