Remote Clinical Data Expert - 61287
Overview
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Project Overview:
We are seeking oncology specialists (e.g., medical oncology, radiation oncology, surgical oncology) to participate in a high-impact project focused on developing and evaluating agentic AI capabilities in healthcare. The primary goal is to create high-quality evaluation data to assess how AI agents can assist oncology patients by matching them with appropriate clinical trials.
Responsibilities
Participate in data collection and expert clinical annotation activities around clinical trial matching based on patient data.
Review, validate, and provide expert input on oncology-related clinical content.
Apply real-world clinical judgment to ensure high-quality outputs aligned with oncology standards.
Support evaluation of AI-assisted or agentic tooling (e.g., Gemini-based workflows) for clinical use cases.
Collaborate with internal teams during onboarding, training, and ongoing review cycles.
Provide feedback to help refine clinical guidelines, rubrics, and tooling where required.
Required Qualifications
Board Certified Physician in Oncology (e.g., medical oncology, radiation oncology, surgical oncology) or a relevant oncology subspecialty (ABIM, ABR, or ABS certification pathway required)
Active U.S. State Medical License Must hold at least one current, unrestricted U.S. state license verifiable via state medical board records
Active National Provider Identifier (NPI) Must have an active NPI listed in the NPPES registry
Active Clinical Practice Must have provided direct patient care within the past 12 months. Retired or non-practicing physicians are not eligible
U.S.-Based Must currently reside and practice within the United States
Physician-Level Expertise Required Attending physicians only; Residents, fellows, students, nurses, or trainees are not eligible
Other Details
Initial focus will be on Oncology / Clinical Oncology roles.
Candidates may be asked to share CVs for review as part of the vetting process.
All clinicians must be U.S.-based, licensed, and actively practicing at the time of onboarding.
Engagement type : Contractor assignment (no medical/paid leave)
Duration of contract : 2 month possibility to extend
Location : United States
Evaluation Process
30mins Client interview
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
#J-18808-Ljbffr Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Project Overview:
We are seeking oncology specialists (e.g., medical oncology, radiation oncology, surgical oncology) to participate in a high-impact project focused on developing and evaluating agentic AI capabilities in healthcare. The primary goal is to create high-quality evaluation data to assess how AI agents can assist oncology patients by matching them with appropriate clinical trials.
Responsibilities
Participate in data collection and expert clinical annotation activities around clinical trial matching based on patient data.
Review, validate, and provide expert input on oncology-related clinical content.
Apply real-world clinical judgment to ensure high-quality outputs aligned with oncology standards.
Support evaluation of AI-assisted or agentic tooling (e.g., Gemini-based workflows) for clinical use cases.
Collaborate with internal teams during onboarding, training, and ongoing review cycles.
Provide feedback to help refine clinical guidelines, rubrics, and tooling where required.
Required Qualifications
Board Certified Physician in Oncology (e.g., medical oncology, radiation oncology, surgical oncology) or a relevant oncology subspecialty (ABIM, ABR, or ABS certification pathway required)
Active U.S. State Medical License Must hold at least one current, unrestricted U.S. state license verifiable via state medical board records
Active National Provider Identifier (NPI) Must have an active NPI listed in the NPPES registry
Active Clinical Practice Must have provided direct patient care within the past 12 months. Retired or non-practicing physicians are not eligible
U.S.-Based Must currently reside and practice within the United States
Physician-Level Expertise Required Attending physicians only; Residents, fellows, students, nurses, or trainees are not eligible
Other Details
Initial focus will be on Oncology / Clinical Oncology roles.
Candidates may be asked to share CVs for review as part of the vetting process.
All clinicians must be U.S.-based, licensed, and actively practicing at the time of onboarding.
Engagement type : Contractor assignment (no medical/paid leave)
Duration of contract : 2 month possibility to extend
Location : United States
Evaluation Process
30mins Client interview
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
#J-18808-Ljbffr Turing