Research Scientist, Computational Biology; Seed AI--Science

Research Scientist, Computational Biology (Seed AI-for-Science)

Location:

Seattle
Team:
Algorithm

Employment Type:

Regular

Understanding biological structure is central to deciphering the mechanisms of life and advancing drug design. We are developing next‑generation, structure‑centric, multimodal foundation models that power key applications—from complex structure prediction and functional modeling to de novo molecular design. We are a cross‑disciplinary team of experts in machine learning, structural biology, computational chemistry, and bioinformatics, supported by strong engineering infrastructure and access to large‑scale compute resources.

We aim to develop open, high‑precision, generalizable models that drive breakthroughs in biology and drug discovery.

• Collaborate closely with a multidisciplinary team of ML researchers, computational biologists, and chemists to tackle cutting‑edge scientific challenges in molecular modeling.
• Contribute to the design, training, and optimization of large‑scale models for structure prediction across diverse biomolecular systems, addressing key challenges such as conformational sampling, binding affinity estimation, and de novo molecular generation.
• Translate insights from structural biology, experimental data, and physical principles into scalable model architectures and generative algorithms.

• A collaborative, impact‑driven environment at the intersection of biology and AI.
• Access to cutting‑edge compute infrastructure and proprietary tools.
• Opportunities to contribute to open science and transformative technologies in drug discovery.

• PhD in Computational Biology, Structural Biology, Computer‑Aided Drug Design (CADD), Biophysics, or a related field, with publications in top‑tier journals or contributions to widely adopted tools.
• 1~5 years of industry or postdoctoral experience with a proven track record of applying computational tools in drug discovery or molecular biology.
• Extensive experience with computational tools and workflows in structural or computational biology, including molecular dynamics (e.g., GROMACS, AMBER), docking (e.g., Auto Dock, Glide), quantum chemistry (e.g., ORCA, Gaussian), structure prediction and design (e.g., Rosetta, RF Diffusion), or analysis of cryo‑EM/X‑ray data.
• Hands‑on experience integrating wet‑lab and computational data, and applying structural or biological insights to address complex biological problems.
• Proficiency in programming and scientific computing (e.g., Python, C++, bioinformatics pipelines).
• Strong scientific curiosity, a collaborative mindset, and the ability to quickly learn new concepts and tools.

The base salary range for this position in the selected city is $177,688 - $341,734 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the…