This role combines research in AI for structural biology with the application of our models to real-world scientific challenges. The successful candidate will contribute to model development, lead computational discovery efforts in collaboration with external partners, and help translate research advances into impactful outcomes. Depending on business needs, time may be split between partner-facing scientific projects and internal research initiatives.
Job Requirements- PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field.
- Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
- Experience in translating machine learning research into real-world scientific impact through collaborations with academic, biotechnology, or pharmaceutical partners.
- Experience designing, executing, or supporting computational discovery campaigns in protein engineering, antibody discovery, binder design, or related therapeutic discovery efforts.
- Experience working closely with experimental scientists and using experimental results to guide decisions.
- Prior experience working on AI for structural biology or drug discovery in either an academic or industry setting.
- Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).
- Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.
Preferred Qualifications- 3+ years of post-PhD experience in an industry or postdoc role
- Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research).
- Experience in biological structure prediction algorithms such as Alphafold2 & 3, RosettaFold.
- Experience in generative modeling for biological structures and sequences
- Experience leading scientific collaborations or serving as a technical point of contact for external research partners.
- Deep knowledge of diffusion models, flow matching, and protein sequence models
$175,000 - $270,000 a year
Join us as we embark on this journey to redefine the future of biology and medicine.
