Job Description
We are building a network of top graduate students and researchers from leading US universities to contribute to projects focused on improving advanced AI systems and scientific reasoning models.
Candidates will work on research-oriented problem solving, AI response evaluation, and structured scientific analysis across Mathematics, Physics, Chemistry, and Biomedical Sciences.
Target Universities
MIT, Stanford, Carnegie Mellon, UC Berkeley, Caltech, Harvard, Princeton, Cornell, Johns Hopkins, UCSF, UPenn (Perelman), Washington University in St. Louis.
Target Profiles
STEM:
Master’s or early PhD students in Computer Science, Mathematics, Physics, Electrical Engineering, or related fields.
Medical / Bio:
MD, DO, MD/PhD (MSTP) candidates or Computational Biology / Biomedical Informatics researchers.
- Preferred Academic Markers
- MCAT 520+, strong USMLE Step 2 CK
- MSTP fellows
- Publications in NEJM, JAMA, and The Lancet
- USAMO, IMO, IOI, IPhO
- Putnam Competition / ACM ICPC finalists
- Summa Cum Laude or 4.0 GPA from top US programs
- Technical Requirements
- Intermediate Python
- Experience with Google Collab
- Strong analytical and research skills
- Evaluation Process
- Aptitude Test - analytical and logical reasoning
- Take-Home Assessment - domain-specific research questions
- 15-Minute Interview - discussion with the client team
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