Fall 2026

AI Research Scientist Intern

GenMD

GenMD

11-50 employees

Synthetic EHR data platform with privacy

Compensation Overview

$46.15 - $75.00/hr

Palo Alto, CA, USA

In Person

Master's, PhD

Category
AI & Machine Learning (1)
Required Skills
LLM
Python
TensorFlow
Neural Networks
PyTorch
Machine Learning

Get referred to GenMD

See people who can refer or advise you

Requirements
  • Currently enrolled in a Master of Science or Doctor of Philosophy program in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
  • Demonstrated research or project foundation in machine learning, deep learning, and natural language processing.
  • Hands-on experience training and fine-tuning large language models, including modeling, optimization, and evaluation.
  • Strong coding skills in Python and experience with modern machine learning libraries such as PyTorch, TensorFlow, and Hugging Face.
  • Ability to work independently in a fast-moving startup research environment.
Responsibilities
  • Improve and extend deep learning and large-language-model-based models through hands-on research and implementation.
  • Design, train, fine-tune, and evaluate models with a focus on real-world performance.
  • Translate research ideas into working code and reproducible experiments.
  • Collaborate closely with engineers to move models from research to usable systems.
  • Contribute directly to the technical core of the product.

Generative Medical builds an AI data platform that generates synthetic electronic health record data to help healthcare organizations share and monetize data without exposing patient identities. The GenMD Synthesizer runs in cloud or self-hosted and uses differential privacy to produce high-fidelity synthetic data that preserves real-world statistics while containing no personal identifiers. It handles both structured data (like diagnoses and medications) and unstructured data (such as physician notes and medical images) and is hosted on SOC 2–compliant infrastructure with HIPAA and FedRAMP compliance. The goal is to enable safe data sharing and collaboration for research and drug development by providing realistic data while requiring authorization to access real data when necessary.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Palo Alto, California

Founded

2022

Get referred to GenMD

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • GenMD’s website was updated September 19, 2025, signaling active product development.
  • Ayin Vala’s June 8, 2026 post shows Stanford clinician validation and ongoing momentum.
  • Growing synthetic-EHR demand favors vendors that monetize data without exposing patient identities.

What critics are saying

  • Academic teams keep publishing stronger synthetic EHR methods; GenMD’s moat erodes fast.
  • HIPAA and GDPR failures would kill hospital deals and trigger lawsuits within months.
  • A small seed round and no disclosed customers create an existential runway risk.

What makes GenMD unique

  • GenMD sells synthetic EHRs with structured, notes, and medical-image generation.
  • Its GenMD website says cloud or self-hosted deployment on HIPAA and FedRAMP infrastructure.
  • Ayin Vala says Stanford clinicians mistook 84% of dataset twins for real records.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

Growth & Insights

Headcount

6 month growth

-36%

1 year growth

-36%

2 year growth

-36%