Hematologist

Turing•San Francisco, CA
•Remote

About The Position

In this project, the Hematologist will use hematology and oncology expertise to help fine-tune large language models. The work focuses on ensuring AI systems provide accurate, empathetic, and safe medical reasoning related to cancer diagnostics, chemotherapy protocols, and hematologic disorders. The role involves creating and solving advanced clinical scenarios, evaluating AI-generated medical responses, identifying gaps in model understanding across hematology and oncology subspecialties, and collaborating with AI researchers and medical peers. The position is fully remote and is offered as a contractor/freelancer engagement for one month, with a possible extension. The expected commitment is 20–40 hours per week, at least four hours per day, with some overlap with Pacific Time. The engagement does not include medical or paid leave.

Requirements

  • MD or equivalent.
  • Active practice within the last three or more years.
  • Board certification or equivalent qualification in Hematology and/or Oncology.
  • Strong knowledge of solid tumors, hematologic malignancies, coagulation disorders, and cancer therapeutics.
  • Ability to explain complex medical reasoning clearly in patient-friendly language.
  • Excellent written and spoken English.
  • Education from a top-tier institution, such as Harvard, Stanford, UCSF, or Oxford.

Nice To Haves

  • Familiarity with digital medical tools.

Responsibilities

  • Design and solve advanced clinical scenarios relevant to hematology and oncology, including chemotherapy regimen selection and management of 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 subspecialties, including solid tumors, bone marrow transplant, and supportive and palliative care.
  • Collaborate with AI researchers and medical peers to improve model quality and reliability.
  • Provide structured expert feedback to inform AI development for clinical and educational applications.
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