Senior Scientist, Developability/Biophysics & Portfolio Support, AI for Drug Discovery (AIDD)
$168,100–$312,300 year
On-siteSouth San Francisco, California, United States
Job Summary
Apply developability modeling to active portfolio projects in gRED and pRED, translating computational predictions into actionable guidance for antibody engineering teams. Support the continuation and evolution of molecular assessment research efforts in partnership with Antibody Engineering stakeholders, ensuring continuity and quality of ongoing work. Interface with portfolio scientists to understand their challenges and translate those into computational approaches, clearly communicating model outputs and limitations. Contribute to method development in developability prediction and biophysical modeling, identifying gaps and proposing solutions. Work with modeling and platform teams to transition research-stage models into production-ready components for reliable use on portfolio projects.
Required Qualifications
- PhD in Computational Biology, Biophysics, Chemistry, or related field, or equivalent advanced experience (5-8 years in ML/computational methods or biophysics)
- Strong expertise in developability assessment, biophysical modeling, or antibody engineering
- deep understanding of what makes antibodies druglike (expression, stability, biophysical properties, manufacturability)
- Proficiency in Python and machine learning frameworks (PyTorch, TensorFlow, or JAX)
- Experience with molecular modeling tools, biophysical analysis, or related computational approaches
- First-author publications or equivalent evidence of research contributions
- Experience working on drug discovery projects where your computational work directly influenced scientific decisions
- Understanding of antibody engineering, developability assessment, and the full lifecycle of antibody optimization
- Ability to explain complex computational methods to non-expert audiences
- Familiarity with the practical constraints and timelines of portfolio science
- Strong communication skills
- You enjoy working with experimental scientists and translating their challenges into computational problems
- You're responsive to stakeholder needs and pragmatic about what's feasible
- You bring energy and curiosity to your work
- You have ambition to grow into broader technical and/or leadership roles
- You're willing to take on ambiguous problems and figure them out
- You seek feedback and are committed to continuous improvement
Desired Qualifications
- Relocation benefits are NOT available for this job posting
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