Hematologist

Turing • Chicago, IL

2d • Remote

About The Position

Turing is seeking a Hematologist to help fine-tune large language models by applying expertise in hematology and oncology. The role focuses on ensuring AI systems provide accurate, empathetic, and safe medical reasoning for clinical and educational applications. The engagement is fully remote and collaborative, for 20–40 hours per week, with at least four hours per day and overlap with Pacific Time. The initial duration is one month, with a possible extension. This is a contractor/freelancer engagement and does not include medical or paid leave.

Turing is based in San Francisco, California, and describes itself as a research accelerator for frontier AI labs and a partner to global enterprises deploying advanced AI systems. It supports frontier research through high-quality data, training pipelines, and AI researchers, and helps enterprises develop reliable AI systems with measurable impact.

Requirements

• MD or equivalent.
• Active medical 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.

Nice To Haves

• Familiarity with digital medical tools.
• Education from a top-tier institution, such as Harvard, Stanford, UCSF, or Oxford.

Responsibilities

• Design and solve advanced clinical scenarios reflecting hematology and oncology practice, 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.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree