
2 - 10 employees
đ„ Healthcare
đ€ Artificial Intelligence
âïž SaaS
Healthcare âą Artificial Intelligence âą SaaS
GenMD is a healthcare data company that creates privacy-preserved digital twins of clinical records so researchers, health systems, and AI teams can collaboratively analyze and build models without exposing individual patient data. GenMD deploys inside a health systemâs cloud account, generates synthetic replicas that preserve statistical structure while minimizing re-identification risk, validates privacy and fidelity, and provides vetted researchers and frontier AI teams fast access to usable clinical datasets. Health systems retain governance, can decline partners, audit use, and earn revenue when partners license access to data.
đ„ 0 minutes ago
đșđž United States â Remote
đ” $150k - $210k / year
â° Full Time
đŽ Lead
đ„ Software Engineer
đ» Ghost score 0%
Where this job comes from
Posted on GenMD's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

2 - 10 employees
đ„ Healthcare
đ€ Artificial Intelligence
âïž SaaS
Healthcare âą Artificial Intelligence âą SaaS
GenMD is a healthcare data company that creates privacy-preserved digital twins of clinical records so researchers, health systems, and AI teams can collaboratively analyze and build models without exposing individual patient data. GenMD deploys inside a health systemâs cloud account, generates synthetic replicas that preserve statistical structure while minimizing re-identification risk, validates privacy and fidelity, and provides vetted researchers and frontier AI teams fast access to usable clinical datasets. Health systems retain governance, can decline partners, audit use, and earn revenue when partners license access to data.
âą Design and maintain clinical benchmarks for reasoning, longitudinal patient histories, multimodal records and tool use âą Build end-to-end evaluation pipelines, including runs, scoring, dashboards and reports comparing models and training runs at scale âą Create rubrics, automated graders and LLM-as-a-judge systems, and calibrate them against clinician review âą Run systematic failure analysis, categorize failure modes, measure their frequency and feed results into dataset design and post-training âą Work with clinical experts and partner AI teams to turn benchmark results into research papers and products âą Build benchmarks and evaluation systems for real-world healthcare data and use findings to create data that closes model performance gaps
âą Hands-on experience evaluating or training LLMs (PyTorch, Hugging Face or similar) âą Strong Python and data engineering skills âą Comfortable with large tabular and text datasets âą SQL/BigQuery is a plus âą Ability to design evaluations that measure meaningful outcomes and resist shortcuts âą B.Sc. or higher in CS, ML, NLP, biomedical informatics or a related field âą About 4 hours of daily overlap with Pacific Time (roughly 9 AM to 1 PM PT) âą LLM/NLP publications preferred âą Experience with clinical data or medical benchmarks is nice to have âą Experience with RL from verifiable rewards, reward modeling or post-training data is nice to have
âą Equity âą Well funded, revenue-generating company âą Remote work arrangement
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