Remote Nephrologist

Turing • San Francisco, CA

1d • Remote

About The Position

In this remote project, the Nephrologist will use expertise in renal medicine to fine-tune large language models. The work focuses on helping AI systems provide accurate, empathetic, and safe medical reasoning through clinical scenario design, response evaluation, and structured expert feedback.

The engagement is for 20–40 hours per week, with a minimum of four hours per day and some overlap with Pacific Standard Time. It is a contractor/freelancer engagement lasting one month, with a possible extension. The role is fully remote and collaborative. The posting states that medical or paid leave is not included.

Turing describes itself as a research accelerator for frontier AI labs and a partner to enterprises deploying advanced AI systems. Its work includes supporting frontier research with data, training pipelines, and AI researchers, and helping enterprises develop reliable AI systems.

Requirements

• MD or equivalent.
• Active clinical practice within the last three or more years.
• Board certification or equivalent qualification in Nephrology.
• Strong knowledge of chronic kidney disease, dialysis, transplant nephrology, glomerular diseases, and fluid and electrolyte management.
• Ability to explain complex medical reasoning in clear, 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 nephrology practice, including acute kidney injury, chronic kidney disease management, electrolyte disorders, and acid-base disturbances.
• Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in renal medicine.
• Identify gaps in AI understanding across nephrology subspecialties, including glomerular diseases, transplant nephrology, and dialysis modalities.
• 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