Member of Technical Staff, Translational Medicine

BioSpace; San Francisco (CA); On-site; USD 250,000 - 400,000; Full time

Benefits offered by this job

Equity

Stock options

401k contributions

Blue Shield health plan

Job summary

Latch, based in San Francisco, seeks a clinical leader to define translational endpoints used in our therapeutics benchmarks and determine whether model outputs align with clinical relevance.

You will secure clinical data, negotiate access, and oversee consent, de-identification, and governance for sensitive information. This is a full-time, on-site role with significant impact on AI-assisted drug development.

Qualifications

• Defined or defended a clinical endpoint in a Phase I–III trial.
• Experience as physician or investigator on at least one clinical trial.
• Authored FDA regulatory documents (IND, protocols, etc.).
• Experience designing data-use agreements and data handling processes.
• Ability to reason from phenotype to molecular/genetic basis.

Responsibilities

• Define translational endpoints used across therapeutics and disease benchmarks.
• Turn real drug programs and trials into AI-scored tasks.
• Serve as the clinical reviewer for omics and biosecurity teams.
• Establish data partnerships with cohorts, health systems, and industry.
• Negotiate data-use agreements and ensure proper consent and de-identification.
• Build the clinical function at the company with advisors and future hires.

Skills

Clinical endpoints

Regulatory understanding

Data partnerships

Consent and de-identification

Healthcare data governance

Job description

About Latch

Latch builds AI agents and benchmarks for biological research, steering frontier AI systems to make breakthroughs in medicine. Our team is roughly 95 people based in San Francisco. Our investors include Lux Capital, Coatue, Fifty Years, Haystack, Jeff Dean, Alec Nielsen, and George Church.

About Latch

Latch builds AI agents and benchmarks for biological research, steering frontier AI systems to make breakthroughs in medicine. Our team is roughly 95 people based in San Francisco. Our investors include Lux Capital, Coatue, Fifty Years, Haystack, Jeff Dean, Alec Nielsen, and George Church.

More than 10,000 scientists use our agents for R&D work, while all five frontier AI labs use our benchmarks to measure what their systems can do in biology. We are the only biotechnology company referenced in model cards (eg Fable V and Opus V).

AI systems are beginning to do meaningful work in drug discovery, but it remains difficult to measure how well they reason about real clinical problems.

We build benchmarks grounded in real biological and clinical work. Our aim is to contribute to AI systems that can design experiments, run experiments, interpret data, design clinical trials, advance compounds through clinical trials, and interpret clinical endpoints at or above the level of the best human experts.

The role

You will lead the clinical side of what Latch measures. You will define the translational endpoints in our therapeutics and disease benchmarks and determine whether a model’s answer is correct in the sense that matters to a treating physician, investigator, or regulator.

You will also help us obtain the clinical data required to build these benchmarks. The most useful data is often not public. It sits within archived clinical trial records, patient registries, health systems, nonprofits, academic centers, and biotechnology companies. Access depends on trust, sound agreements, and a clear understanding of how sensitive data should be handled.

What You Will Do

• Define and own the translational endpoints used across our therapeutics and disease benchmarks. You will be expected to defend those decisions when a frontier lab disagrees with the scoring.
• Turn real drug programs and clinical-trial designs into tasks on which AI agents can be scored. Failed trials are especially useful when the reason for failure is known.
• Serve as the clinical authority for our omics, therapeutics, and biosecurity teams. Before Latch makes a clinical claim about a disease, you will be the final reviewer.
• Establish data partnerships with patient cohorts, nonprofits, health systems, academic centers, and biotechnology companies.
• Negotiate data-use agreements and build the consent, de-identification, compliance, and review processes required to work with clinically sensitive data.
• Build the clinical function at Latch, beginning with advisors and eventually hiring a team.

Minimum Qualifications

We are seeking someone who meets the requirements below. The preferred qualifications are useful but are not a filter.

• You have defined or defended a clinical endpoint in a Phase I, Phase II, or Phase III clinical trial.
• You have served as a physician or named investigator on at least one Phase I, II, or III clinical trial. You can explain the molecule, patient population, dose rationale, safety profile, endpoint selection, and the responses from the FDA or safety monitoring board.
• You have authored FDA regulatory documents such as IND, clinical trial protocols, investigator brochure, BLA/sBLA filings, and medical device authorizations.
• You have taken data-use agreements through execution yourself. You understand consent, de-identification, and IRB review well enough to design the process.
• You have a working command of disease development and can reason from a phenotype to its possible molecular or genetic basis.
• You have secured a data or research partnership with a patient group, nonprofit, academic center, health system, or biotechnology company.

Preferred Qualifications

• Experience in rare disease, oncology, solid tumors, or gene therapies.
• Familiarity with frontier AI model performance benchmarks.
• Familiarity with HIPAA, GDPR, and NIH controlled-access systems, including dbGaP and Data Access Committees
• Regular use of AI tools in clinical or scientific work, along with specific views about where those tools fail.

The interview

One interview will be a detailed discussion of a drug program you know well. You should be prepared to explain the trial details, such as mechanism of action, patient population, dose rationale, endpoints, safety profile, regulatory feedback, and your own contributions.

Location

This is a full-time, in-person position at our waterfront office in China Basin, San Francisco. The team works from the office five days a week. The role is not hybrid or remote.

Compensation And Benefits

• Total compensation ranges from $250,000 to $400,000, depending on clinical and technical experience.
• We believe in long-term incentive plans and provide equity, stock options, and 401k contributions.
• Benefits include a Blue Shield Platinum health plan with 100% of premiums covered, no deductible, and no out-of-pocket costs.
• Daily meals, including Lunch and dinner, are provided. Travel and accommodations for medical conferences or other professional networking trips are included.