Jobs · Engineering · California

Member of Technical Staff, Translational Medicine

BioSpace · San Francisco, CA · 2 mo ago
Engineering$250k–$400k/yrFull-time

About 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.

Responsibilities

  • 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.

Requirements

  • 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.

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.

Skills

  • Strong clinical expertise.
  • Ability to defend clinical decisions.
  • Data management and negotiation skills.
  • Understanding of ethical and legal considerations in clinical research.

Benefits

  • Total compensation ranging from $250,000 to $400,000, depending on clinical and technical experience.
  • Equity, stock options, and 401k contributions.
  • 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.

Pay

Total compensation ranges from $250,000 to $400,000, depending on clinical and technical experience.

Schedule

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.

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