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AI Research Intern
Pear VCAI research intern building clinical reasoning and computer-use models at a healthcare research lab. Working with proprietary clinical data to develop benchmarks, train models, and publish findings.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and evaluating clinical reasoning models using real clinical data, with a strong foundation in Python and machine learning. Capable of taking ownership of open-ended problems and producing publishable research findings.
Highest-signal resume keywords
Fluency In PythonReal Research ExperienceModel Training ExperienceExperience With Healthcare DatasetsExperience Building LLM-Powered Products
ATS Keywords
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Hard Skills
Model TrainingClinical Reasoning ModelsData EvaluationBenchmark DesignTechnical Report Writing
Soft Skills
OwnershipProblem-SolvingAdaptability
Certifications & Qualifications
Master's In Machine Learning
Industry Keywords
Healthcare DatasetsLLM-Powered ProductsStartup Environment
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Work with real, proprietary clinical data from hospital and clinic partners to surface insights that shape model and product direction
- Build clinical reasoning models that improve physician and clinic workflows
- Design and publish benchmarks that expose where current LLMs fall short on real clinical reasoning
- Evaluate computer-use models on real-world tasks
- Own the training and evaluation pipeline end to end
- Take open-ended problems from question to working model, with minimal predefined structure
- Write up findings as technical reports and papers
Requirements
What you’ll need- Real research experience; ability to define a problem, not just execute a known one
- Has trained models before, not just fine-tuned APIs
- Fluency in Python
- Master's or higher in ML or a related field
- Energized by open-ended problems and ambiguity
- Wants to publish, not just ship
- Takes ownership without needing to be guided
- Genuinely wants a startup over big tech
- Prior founder or founding-engineer experience (nice to have)
- Strong product taste (nice to have)
- Experience with healthcare datasets (nice to have)
- Experience building LLM-powered products (nice to have)
- Ambitions to start your own company someday (nice to have)
- Eligibility to work in the United States or need for United States visa sponsorship addressed in application
Benefits
Comp & perks- Competitive salary
- Meaningful equity
- Direct, daily work with the founders
- Exposure to board and investor conversations
- Real ownership of technical direction, with scope that grows as the company does
- Full compute and data to do the work properly
- Visa sponsorship available