Clinical AI Translational Medicine Lead

Sci.bio Recruiting; San Francisco (CA); On-site; USD 250,000 - 400,000; Full time

Benefits offered by this job

Equity

401(k) contributions

Meals provided

Conference travel

Fully covered health plan

Job summary

Sci.bio Recruiting seeks a physician-lead to guide AI benchmarks evaluating clinical reasoning in drug development and translational science. You will translate clinical endpoints into robust evaluation tasks and ensure AI conclusions align with medical practice and regulatory expectations.

The role involves building strategic clinical datasets, negotiating data-use agreements, and mentoring an emerging clinical analytics team while partnering with researchers, patient groups, and biopharma

Qualifications

• MD with residency training and clinical leadership experience.
• Experience selecting, developing or defending clinical endpoints in clinical trials (Phase I–III).
• Strong understanding of FDA interactions and regulatory documentation.

Responsibilities

• Lead selection and development of translational and clinical endpoints for AI benchmarks.
• Convert real-world programs into evaluation tasks for AI systems.
• Serve as senior clinical SME across therapeutics, omics, and biosecurity.
• Develop data partnerships with patient organizations, healthcare systems, and biotech firms.
• Lead data-use agreements, informed consent, de-identification, and privacy processes.
• Help establish the clinical function and recruit internal team members.

Skills

Clinical development expertise

Regulatory strategy

Data partnerships

Clinical data governance

Education

MD degree

Tools

dbGaP access

IRB processes

Job description

Sci.bio Recruiting seeks a physician-lead to guide AI benchmarks evaluating clinical reasoning in drug development and translational science. You will translate clinical endpoints into robust evaluation tasks and ensure AI conclusions align with medical practice and regulatory expectations.

The role involves building strategic clinical datasets, negotiating data-use agreements, and mentoring an emerging clinical analytics team while partnering with researchers, patient groups, and biopharma