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About the Role

We are seeking an ambitious, scientifically grounded person to join our team focused on developing rigorous benchmarks and training datasets that advance AI capabilities in biology. This role sits at the intersection of biology, data curation, and machine learning, and is ideal for someone with deep scientific training who is excited to shape how frontier AI systems learn to do science.

Responsibilities

• Design benchmarks that capture the complexity of real biological research, drawing on your domain expertise to identify what makes scientific reasoning hard.
• Curate and vet biological datasets to ensure scientific rigor.
• Analyze model outputs, identify failure modes, and contribute to iterative improvements in both datasets and evaluation criteria.
• Collaborate with AI/ML researchers to translate scientific intuition into training signal, helping AI systems learn not just facts but how scientists think.
• Coordinate operations and manage workflows, including working with domain experts, tracking task progress, and maintaining documentation.

Requirements

• Graduate-level training in biology, biochemistry, computational biology, or a related field, with hands-on research experience.
• Working knowledge of machine learning concepts, particularly deep learning and large language models.
• Comfortable with Python and building workflows for data processing, analysis, and experimentation.
• Possess strong scientific taste and able to identify what distinguishes expert-level reasoning from surface-level pattern matching.
• Detail-oriented and willing to take on high-value but occasionally tedious work.
• Energized by ambiguous, open-ended problems that require creativity, collaboration, and first-principles thinking to solve.
• Organized and communicative, able to manage multiple workstreams and coordinate across teams.

Skills

• Python
• Data processing
• Data analysis
• Experimentation
• Machine learning
• Deep learning
• Large language models
• Scientific reasoning
• Domain expertise in biology
• Bioinformatics pipelines
• Biological databases
• Sequence analysis tools
• Fine-tuning LLMs
• Evaluating LLMs
• RLHF
• Preference-based training

Location

• San Francisco

Work Type

• On-site
• Full-time

Experience Level

• Graduate-level training
• Hands-on research experience

Education Level

• Graduate-level training in biology, biochemistry, computational biology, or a related field

Salary/Compensations

• $160,000 - $300,000
• Offers equity

Benefits

• Competitive salary and equity
• Full healthcare coverage; we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
• 12 weeks of paid parental leave for maternity, paternity, and adoption
• Pet care support with a yearly employer-funded stipend for your animal companions
• Commuter benefits so you can pay for transit and parking with pre-tax dollars
• 401(k) company matching
• $300 health and wellness benefit quarterly
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team off-sites and company events

About the Company

• Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines.
• We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
• We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it.

Equal Opportunity

• Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.