6 days ago

Clinical AI Research Fellow

Keystone Recruitment

Remote
Contractor
$270,400
Remote

Job Overview

Job TitleClinical AI Research Fellow
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$270,400
LocationRemote

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Job Description

Clinical AI Research Fellow at Keystone Recruitment

Keystone Recruitment is seeking highly qualified Clinical AI Research Fellows (excluding radiology specialists) to join a critical project. This role supports a leading AI lab's initiative to enhance medical reasoning capabilities using laboratory data. As a Clinical AI Research Fellow, you will collaborate directly with research teams to rigorously evaluate, refine, and stress-test advanced AI systems. Your primary contribution will involve developing comprehensive diagnostic cases and corresponding scoring rubrics to ensure the accurate assessment of AI-generated medical reasoning based on lab results.

Key Responsibilities

  • Develop intricate diagnostic cases derived from diverse lab data for thorough AI evaluation.
  • Create precise and effective scoring rubrics to assess the accuracy and clinical soundness of AI-generated responses.
  • Review and meticulously refine AI outputs to guarantee clinical accuracy and robust medical reasoning.
  • Collaborate seamlessly with interdisciplinary research teams within a highly structured and professional environment.
  • Maintain clear, detailed documentation of all findings and communicate insights effectively to stakeholders.

Required Qualifications

  • Currently enrolled in an accredited U.S.-based Fellowship program.
  • Must not be specializing in Radiology.
  • Hold a U.S.-based MD or DO degree.
  • Demonstrated strong experience with medical lab panels and the ability to apply clinical reasoning effectively based on lab results.
  • Possess excellent written and verbal communication skills for clear articulation of complex medical concepts.
  • Exhibit exceptional attention to detail and strong analytical thinking capabilities.
  • A genuine interest in advancing AI applications within the fields of medicine and healthcare.

Role Details

  • Expected commitment ranges from 20 to 40 hours per week.
  • The project has a minimum duration of three months, with significant potential for extension based on project needs and performance.
  • This is a fully remote role offering a flexible schedule to accommodate your fellowship commitments.

Application Process

To apply for the Clinical AI Research Fellow position, submit your resume for initial review. Successful candidates will then complete a short AI interview and a brief form. If selected to proceed, you will undertake a paid 2–3 hour training course. Upon successful completion of this training, an offer to join the project will be extended. The follow-up process is typically rapid, reflecting the dynamic pace of the AI industry.

Key skills/competency

  • Medical Reasoning
  • AI Evaluation
  • Diagnostic Case Development
  • Lab Data Interpretation
  • Clinical Accuracy
  • Scoring Rubrics
  • Research Collaboration
  • Analytical Thinking
  • Medical Informatics
  • Healthcare AI

Tags:

Clinical AI Research Fellow
medical reasoning
diagnostic cases
AI evaluation
lab data analysis
clinical accuracy
scoring rubrics
research collaboration
medical informatics
problem-solving
detailed analysis
artificial intelligence
machine learning
healthcare AI
clinical systems
data interpretation
medical technology
project support
software evaluation
healthcare technology

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI: Highlight experience in medical reasoning, lab data analysis, and any exposure to AI or research, emphasizing keywords from the Clinical AI Research Fellow description.
  • Prepare for the AI interview: Practice articulating your clinical reasoning process and interest in healthcare AI clearly and concisely.
  • Showcase clinical expertise: During interviews, provide specific examples of how you've used lab data for diagnosis and clinical decision-making.
  • Emphasize collaboration & detail: Demonstrate your ability to work effectively in research teams and your meticulous attention to detail.

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