3+ years in healthcare, medical research, health technology, or biopharma
Background in medicine, clinical practice, or biomedical research
Strong understanding of healthcare data and clinical workflows
Demonstrated leadership experience in fast-paced environments
Ability to work independently with minimal direction
Excellent written and verbal communication skills
Comfortable with data and AI tools
Responsibilities
Manage expert teams in healthcare and biopharma
Collaborate with client research teams to design datasets
Establish quality standards for medical content
Translate research goals into actionable project plans
Utilize data tools and AI systems for automation
Communicate project progress and risks to stakeholders
Benefits
Onsite work model in San Francisco
Opportunity to work at the intersection of healthcare and AI
Engagement with expert contributors in a fast-paced environment
Potential for profit sharing and equity participation
Dynamic role with scope for self-definition and leadership
Full Job Description
Location: San Francisco, CA
Work Model: Onsite
Industry: Artificial Intelligence / Data
Compensation: $130K-$150K base, target cash compensation around $300K (profit share plus equity) The Opportunity
This is a healthcare-specialized operations lead role. You will manage teams of expert contributors across healthcare, medicine and biopharma, and you will work directly with client research teams to design datasets that shape how foundation models reason about medicine.
The work sits between clinical judgment and machine learning. You need enough domain depth to evaluate whether medical content is correct and whether a task is well specified, enough leadership ability to run expert teams at pace, and enough technical comfort to work fluently with data and AI tooling. The environment is fast-moving and lightly directed; the people who do well here define their own scope. Responsibilities
Manage expert teams across healthcare, medicine and biopharma
Work directly with client research teams to scope and design datasets
Own quality standards for medical and clinical content
Translate ambiguous research goals into executable project plans
Use data tooling and AI systems to automate and scale delivery
Communicate progress, tradeoffs and risks to technical stakeholders
Requirements
3+ years of experience in healthcare, medical research, health technology, biopharma or a comparably selective healthcare or medicine environment
Background in medicine, clinical practice, biomedical research, healthcare operations or an adjacent discipline
Strong understanding of healthcare data, systems, clinical workflows or medical research
Demonstrated leadership experience
High agency and the ability to execute with minimal direction in ambiguous conditions
Excellent written and verbal communication
Comfort working with data, technical systems and AI tools
