Nephrologist

Role Overview

In this project, you will leverage your expertise in nephrology to help fine-tune large language models (like ChatGPT). Your deep understanding of renal diagnostics, dialysis management, and electrolyte disorders will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.

What You’ll Do

• Design and solve advanced clinical scenarios reflecting nephrology practice, from acute kidney injury and CKD management to complex electrolyte 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 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 Nephrology.
• Strong grasp of renal medicine — chronic kidney disease, dialysis, transplant nephrology, glomerular diseases, and fluid/electrolyte management.
• 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.