Backed by GV.
About the role
We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Programming & Querying: Advanced proficiency in SQL for data manipulation alongside strong Python skills for predictive modeling and data transformation
- Machine Learning & Modeling: Practical experience applying clustering (segmentation), regression/classification, and survival analysis (e.g., scikit-learn, statsmodels, lifelines)
- NLP & Modern LLM Workflows: Hands-on experience with NLP techniques and LLM frameworks (e.g., transformers, Claude API, etc.) to parse, extract, and classify unstructured text data
- Causal Inference Fundamentals: Solid working knowledge of quasi-experimental design, propensity score matching, and counterfactual reasoning on observational datasets
- 2 to 4 years of hands-on data science or analytics experience delivering high-impact solutions
- Experience working with healthcare, telehealth, digital health datasets
More about this role
📍 Hybrid, Palo Alto or San Francisco (Hybrid – 2 days/week in office)
Job Type: Full-time W2
We are looking for a pragmatic, hands-on Data Scientist to build and own the quantitative foundation for our clinical care delivery, patient treatment plan refinement, and retention engines.
In our specialty care model, clinical health outcomes and business growth are directly linked: matching patients to their preferred, personalized treatment path leads to higher clinical efficacy, better satisfaction, and long-term retention. In this role, you won't just work with clean tabular data; you will bridge the gap between structured clinical metrics (lab values, symptom severity scores, dosage trajectories) and unstructured patient communications (visit transcripts, ambient scribe outputs, and intake survey dialogue).
You will sit at the intersection of Data Science, Clinical Operations, and Product, serving as a core builder who transforms messy, multi-modal patient data into actionable clinical decision support and personalized care pathways.
- Clean & Transform Multi-Modal Clinical Data: Build reliable, well-structured modeling tables and feature stores by parsing, cleaning, and joining raw...
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