Data Scientist, Clinical Outcomes

Midi Health

. Build and own the quantitative foundation for clinical care delivery, patient treatment plan refinement, and retention engines .

Posted 11/6/2026full-timePalo Alto • California • United StatesJuniorMid-Level💰 $144,000 - $172,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and refining quantitative models for clinical care delivery, with a strong focus on data processing, predictive modeling, and NLP techniques. Proven ability to translate complex analytical findings into actionable insights for clinical operations and product development.

Highest-signal resume keywords

Advanced SQL ProficiencyStrong Python SkillsNLP Techniques and LLM FrameworksClustering and Survival AnalysisHealthcare Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData TransformationClusteringRegressionClassificationSurvival AnalysisEntity ExtractionSentiment AnalysisTopic ModelingPropensity Score Matching

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

TransformersClaude APIEHR SystemsClinical Data Pipelines

Certifications & Qualifications

Bachelor's Degree in Biomedical Data ScienceMaster's Degree in Health InformaticsMaster's Degree in Biostatistics

Industry Keywords

Clinical Care DeliveryTelehealthDigital HealthPatient Treatment PlansHealthcare Datasets

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Build and own the quantitative foundation for clinical care delivery, patient treatment plan refinement, and retention engines
Clean, transform, parse, and join multimodal clinical data including lab results, symptom surveys, medication history, and visit transcripts
Design data processing pipelines that convert unstructured clinical notes, orders, and visit transcripts into structured relational tables
Build NLP and LLM-based pipelines for entity extraction, sentiment analysis, topic modeling, and patient preference insights
Detect unaddressed obstacles and early side-effect reports before treatment discontinuation
Develop unsupervised lookalike cohort clustering models
Build predictive models forecasting symptom reduction, time-to-relief, and potential side-effect risks across treatment branches
Apply propensity score matching, difference-in-differences, and survival analysis to evaluate non-randomized care pathways
Identify clinical touchpoints and dosage milestones affecting adherence, retention, and LTV
Support peer-reviewed publications, white papers, and payer studies with the clinical research team
Translate analytical findings and patient drop-off trends into workflow improvements for clinical operations and care teams
Collaborate across Data Science, Clinical Operations, Product, clinical research, and care teams
Report to the Director of Data Science + Analytics

Requirements

What you’ll need

Advanced proficiency in SQL
Strong Python skills for predictive modeling and data transformation
Practical experience with clustering, regression/classification, and survival analysis
Hands-on experience with NLP techniques and LLM frameworks such as transformers and Claude API
Solid working knowledge of quasi-experimental design, propensity score matching, and counterfactual reasoning
Comfort working with messy, semi-structured, or missing healthcare datasets, including lab results, PROMs, and EHR notes
Ability to translate technical modeling outcomes into clear insights for Clinical Operations and Product partners
2 to 4 years of hands-on data science or analytics experience delivering high-impact solutions
Experience working with healthcare, telehealth, or digital health datasets
Demonstrated experience parsing unstructured text/transcript data into structured modeling pipelines
Bachelor's or Master's degree in Biomedical Data Science, Health Informatics, Biostatistics, or a related quantitative field
Must be authorized to work in the United States without current or future sponsorship needs

Benefits

Comp & perks

Equity
Benefits
Competitive base salary