Position: Clinical Data Expert – Clinical Trial Matching (Oncology)
Type: Contractor Assignment
Compensation: Competitive (hourly)
Location: United States (Remote)
Commitment: Project-based (contract duration: 2 months, with possibility of extension)
Role Responsibilities
- Participate in expert clinical data collection and annotation activities focused on matching oncology patients to appropriate clinical trials.
- Review, validate, and provide physician-level input on oncology-related clinical content and trial eligibility criteria.
- Apply real-world clinical judgment to ensure high-quality outputs aligned with current oncology standards of care.
- Evaluate AI-assisted and agentic clinical tooling used in clinical trial matching workflows.
- Collaborate with internal teams during onboarding, training, and ongoing quality review cycles.
- Provide structured feedback to refine clinical guidelines, evaluation rubrics, and AI tooling.
- Support the development of high-quality evaluation datasets used to assess AI performance in healthcare use cases.
- Ensure all annotations and evaluations meet medical accuracy, regulatory expectations, and ethical standards.
Requirements
- Board Certified Physician in Oncology (Medical Oncology, Radiation Oncology, Surgical Oncology, or related oncology subspecialty).
- Certification via ABIM, ABR, or ABS pathways required.
- Active, unrestricted U.S. state medical license (verifiable via state medical board records).
- Active National Provider Identifier (NPI) listed in the NPPES registry.
- Must be actively practicing and have provided direct patient care within the past 12 months.
- Physician-level expertise required; attending physicians only.
- Must currently reside and practice within the United States.
- Strong clinical judgment with attention to detail and commitment to quality.
- Ability to provide clear, structured clinical feedback in a remote, collaborative environment.
- Comfortable working with digital tools and AI-assisted workflows.
Application Process
Upload resume / CV
Client interview (30 min)