Remote Hematologist/Oncologist - 75131
Posted Today by Turing
Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The role of Remote Hematologist/Oncologist involves leveraging expertise in hematology and oncology to enhance large language models for accurate medical reasoning. The position requires designing clinical scenarios, evaluating AI responses, and collaborating with researchers to improve AI model quality. Candidates must have recent clinical practice experience and board certification in Hematology and/or Oncology. The engagement is fully remote, requiring a commitment of 20–40 hours per week.
Key Responsibilities:
- Design and solve advanced clinical scenarios reflecting hematology/oncology practice.
- Evaluate AI-generated responses for diagnostic accuracy and clinical judgment.
- Identify gaps in AI understanding across hematology/oncology subspecialties.
- Collaborate with AI researchers and medical peers to improve model quality.
- Provide structured, expert feedback for next-generation AI development.
Key Skills:
- MD or equivalent; active practice within the last 3+ years.
- Board certification or equivalent qualification in Hematology and/or Oncology.
- Strong grasp of hematology and oncology, including solid tumors and cancer therapeutics.
- Skilled in articulating complex medical reasoning in clear language.
- Excellent written and spoken English; familiarity with digital medical tools is a plus.
- Education from a top-tier institution.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Role Overview In this project, you will leverage your expertise in hematology and oncology to help fine-tune large language models (like ChatGPT). Your deep understanding of cancer diagnostics, chemotherapy protocols, and hematologic disorders will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.
What You’ll Do
- Design and solve advanced clinical scenarios reflecting hematology/oncology practice, from complex chemotherapy regimen selection to managing coagulopathies, anemias, and hematologic malignancies.
- Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in hematology and oncology.
- Identify gaps in AI understanding across hematology/oncology subspecialties including solid tumors, bone marrow transplant, and supportive/palliative care.
- Collaborate with AI researchers and medical peers to improve model quality and reliability.
- Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications.
Candidate Requirements
- MD or equivalent; active practice within the last 3+ years.
- Board certification or equivalent qualification in Hematology and/or Oncology.
- Strong grasp of hematology and oncology — solid tumors, hematologic malignancies, coagulation disorders, and cancer therapeutics.
- Skilled in articulating complex medical reasoning in clear, patient-friendly language.
- Excellent written and spoken English; familiarity with digital medical tools is a plus.
- Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).
Offer Details
- Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST)
- Engagement: Contractor/freelancer (no medical or paid leave)
- Duration: 1 month, with possible extension
- Remote: Fully remote, collaborative environment
About 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.
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