- Company: Get A Job.ai
- Location: Cambridge, MA
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential computational biology organization tackling fundamental questions at the intersection of chemistry, biology, and artificial intelligence. Our client is building frontier AI models to understand molecular systems and reaction networks. This is a rare opportunity to work at the cutting edge of ML-for-science, where your models directly influence experimental work and new lab data shapes your next iteration.
Responsibilities
- Design and train large-scale models spanning molecular structure, dynamics, enzymatic interactions, and reaction network prediction
- Own the full model lifecycle including architecture selection, data pipeline development, training execution, debugging, and evaluation
- Collaborate closely with experimental chemists and biochemists, translating between computational and bench science fluently
- Integrate new experimental data into iterative model improvements
- Make strategic decisions about model approaches where high-risk, high-reward paths are supported
What We're Looking For
Required:
- Demonstrated track record training large models end to end, with the depth to discuss technical challenges, failures, and solutions in detail
- Strong ML engineering fundamentals across architectures, training dynamics, data pipelines, and evaluation methodologies
- Prior hands-on experience applying machine learning to chemistry, biology, or related physical science problems
- Ability to communicate complex technical concepts clearly to colleagues whose primary expertise is in experimental sciences rather than AI
Highly Preferred:
- PhD in a quantitative field (common among the team, though depth of experience matters more than credentials)
- Specific experience in ML-for-chemistry or ML-for-biology domains such as neural network potentials, graph neural networks, protein modeling, or reaction prediction
How We Work With You
Candidates apply directly through Get A Job.ai. Our talent team conducts an initial screening to understand your background and assess fit. We then submit qualified candidates to our client for their review and interview process. Please do not attempt to contact the client directly, as all communication is managed through our recruiting team to ensure a smooth process for everyone involved.
Pay and Benefits
Compensation for this role is highly competitive and commensurate with experience. Our client is also able to sponsor visas for the right candidate. This is a full-time position based in Cambridge, MA.
Get A Job.ai is an equal opportunity recruiter. We work with clients who value diversity and are committed to building inclusive teams. We encourage applications from candidates of all backgrounds.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
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Listing facts
- Role AI Research Scientist
- Employer Get A Job.ai
- Location Cambridge, MA
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 22, 2026
- Apply by October 22, 2026
- Overview Full job description on this page (375 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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