Part-Time Clinical AI Research Fellow

Alterra Labs; New York (NY); Presencial; USD 60.000 - 95.000; A tiempo parcial

Descripción de la vacante

Alterra Labs is seeking Clinical Research Fellows to probe frontier AI in healthcare, using your clinical judgment to design tasks, evaluate model behavior, and write evaluative rubrics. This part-time fellowship fits alongside medical training, with collaboration from attendings and engineers to advance safer, more capable AI in medicine.

You will work end-to-end from ideation through execution and expert review, focusing on failures that matter in real workflows and translating findings into

Formación

• Sharp clinical reasoning to synthesize messy records and detect missing or contradictory data.
• Ownership to follow work through end-to-end and maintain high quality.
• Curiosity about AI and model evaluation; pipeline basics taught if not experienced.
• Clinical training as a medical student, resident, or fellow; pharmacists, nurses, and clinical informaticists welcome.
• Clear, honest availability for multi-month blocks, with accurate timing disclosed.

Responsabilidades

• Run frontier models on realistic, multi-step clinical tasks inside Alterra environments and identify where they break.
• Build targeted tasks that isolate specific failures using real patient data and workflows.
• Write rubrics based on clinical guidelines and expertise with clear checkpoints.
• Measure failure frequency and analyze evidence, mechanism, and clinical impact.
• Collaborate with attendings and researchers to refine tasks and rubrics.
• Translate findings into deliverables for partners and collaborators.

Conocimientos

Clinical reasoning

Ownership

Curiosity about AI

Clinical training

Time management

Educación

Medical student or resident or fellow

Herramientas

LLMs

EHR data access

Descripción del empleo

Alterra Labs is seeking Clinical Research Fellows to probe frontier AI in healthcare, using your clinical judgment to design tasks, evaluate model behavior, and write evaluative rubrics. This part-time fellowship fits alongside medical training, with collaboration from attendings and engineers to advance safer, more capable AI in medicine.

You will work end-to-end from ideation through execution and expert review, focusing on failures that matter in real workflows and translating findings into