--- title: 'Data Scientist, Clinical Outcomes at Midi Health' canonical: 'https://feeny.ai/job/data-scientist-clinical-outcomes-midi-health-palo-alto-nd9238sctx01' type: 'job' last_seen: '2026-11-07' --- # Data Scientist, Clinical Outcomes at Midi Health - **Company:** Midi Health - **Location:** Palo Alto, CA / San Francisco, CA - **Work type:** hybrid - **Posted:** 2026-11-06 - **Last confirmed live:** 2026-11-07 - **Apply:** https://job-boards.greenhouse.io/midihealth/jobs/4751720005 ## Job description 📍 Hybrid, Palo Alto or San Francisco (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics Job Type: Full-time W2 ## 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. 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. ## What You’ll Do Data Foundation & Pipeline Development - Clean & Transform Multi-Modal Clinical Data: Build reliable, well-structured modeling tables and feature stores by parsing, cleaning, and joining raw datasets including lab results, symptom severity surveys, medication history, and raw visit transcripts. - Establish Unstructured Data Workflows: Design robust data processing pipelines to convert unstructured clinical notes, orders and visit transcripts into structured, queryable relational tables. Transcript Mining & Feature Extraction - Extract Patient Intent & Preference: Build lightweight NLP and LLM-based pipelines (using entity extraction, sentiment analysis, and topic modeling) to convert ambient visit transcripts into structured features. And provide insights into patient preferences in treatment pathway, communication, and modality, etc. - Identify Friction Points: Process qualitative dialogue to automatically detect unaddressed obstacles or early side-effect reports before they lead to treatment discontinuation. Lookalike Cohorts & Patient Treatment Planning - Lookalike Clustering Engine: Develop unsupervised segmentation models to cluster patients into "lookalike" cohorts based on baseline lab values, symptom profiles, and transcript-derived preferences. - Outcome & Trajectory Forecasting: Build predictive models that estimate symptom reduction, time-to-relief, and potential side-effect risks across alternative treatment branches (e.g., immediate HRT vs. conservative step-therapy). Causal Inference & Retention Analytics - Quasi-Experimentation on Care Protocols: Apply observational study methods (Propensity Score Matching, Difference-in-Differences, Survival Analysis) to evaluate non-randomized care pathways and quantify counterfactual patient outcomes. - Drop-Off & Retention Optimization: Identify critical clinical touchpoints and dosage adjustment milestones that drive long-term program adherence, connecting clinical milestone achievement directly to patient retention and LTV. Research & Cross-Functional Collaboration - Evidence Generation: Partner with the clinical research team to provide analytical support for peer-reviewed medical publications, white papers, and payer studies. - Clinical Operations Alignment: Translate analytical findings, treatment protocol insights, and patient drop-off trends into actionable workflow improvements for clinical operations and care teams. ## What You Bring Technical Skills - 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. Analytical Capabilities - Healthcare Data Intuition: Comfort working with messy, semi-structured, or missing healthcare datasets (lab results, Patient-Reported Outcome Measures/PROMs, EHR notes). - Pragmatic "0-to-1" Builder Mindset: You enjoy doing the foundational data architecture work—cleaning JSON outputs, structuring features, and validating baseline models—before reaching for complex algorithms. - Cross-Functional Communication: Ability to translate technical modeling outcomes into clear, intuitive insights for Clinical Operations and Product partners. ## Experience - 2 to 4 years of hands-on data science or analytics experience delivering high-impact solutions. - Experience working with healthcare, telehealth, digital health datasets. - Demonstrated track record of 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. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 30 mins Technical Screen- 1hr Panel Interviews- 3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs. This is a full-time W2 position. The base salary range is 144K-172K and will depend on experience. Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥 https://www.youtube.com/watch?v=1px7i6MVjNg ## #LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com. Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates [here](https://joinemidi.notion.site/CCPA-Privacy-Notice-for-California-Candidates-234ea80994d38013bea1f24b3fa993ce). ## About Midi Health ## Company Overview - **One-liner**: Midi Health is a virtual care clinic specializing in insurance-covered healthcare for women navigating perimenopause, menopause, and other midlife hormonal changes. - **Entity Type**: Private (venture-backed, Series D) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2021 - **Founders**: Joanna Strober (CEO & Co‑founder) ## Core Business - **Primary industries**: Virtual healthcare, women’s health, telehealth - **Target customers**: B2C (women aged 30+ experiencing midlife symptoms) and B2B (employers offering Midi as a benefit, health systems partnerships) - **Mission or purpose statement**: “We’re on a mission to revolutionize healthcare for women at midlife—to relieve their symptoms and support their wellbeing—wherever they live and whatever their health story.” [joinmidi.com/careers] ## Products & Services - **Virtual Clinical Visits**: Insurance‑covered one‑on‑one appointments with clinicians trained in midlife health (perimenopause, menopause, sexual wellness, cancer survivorship, etc.). Available in all 50 states. - **Personalized Care Plans**: Holistic treatment plans tailored to each patient’s unique symptoms and health history. - **Prescriptions & Supplements**: Medications (including hormone therapy) and a curated line of supplements designed for midlife women. - **Employer & Health System Partnerships**: Fortune 100 companies offer Midi as part of their benefits package; leading health systems partner for integrated care. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding of **$265.9M** across 7 rounds (Seed, Series A, B, D) [linkedin.com/company/midi-health] - **Notable Investors/Partners**: Felicis, SemperVirens Venture Capital, Google Ventures (led Series A), Goodwater Capital (led Series D in Feb 2026) [linkedin.com/company/midi-health] - **Growth Signals**: Headcount of 491 employees (+105% YoY); operates in 6 countries; 83,244 LinkedIn followers (+93.3% yearly); insurance coverage in all 50 states; partnerships with Fortune 100 employers [linkedin.com/company/midi-health] ## Competitive Advantages - **Deep specialization**: Clinicians are experts in midlife health, a historically underserved segment. - **Insurance‑covered model**: Vast majority of visits and prescriptions are covered by insurance, lowering patient out‑of‑pocket costs. - **Holistic approach**: Combines medical care, supplements, and lifestyle support in personalized care plans. - **Strong employer channel**: Partnerships with major employers and health systems create a built‑in patient pipeline. ## Strategic Focus - **Expansion of insurance coverage** and partnerships with more health systems and employers. - **Product innovation** in digital care delivery, including AI‑enhanced tools (e.g., Senior Software Engineer, AI Engineer roles listed). - **Scaling clinical operations** across all 50 states and potentially internationally. - **Deepening the product suite** (supplements, community, education) to become a comprehensive midlife platform. ## Why Work Here - **Culture**: Purpose‑driven mission to improve women’s health; values include empathy, expertise, and inclusivity. [joinmidi.com/careers] - **Work model**: Hybrid roles in Palo Alto and San Francisco for most engineering and product teams; many clinical and support roles are fully remote. - **Benefits**: Medical, Dental, Vision, 401K, Flexible Paid Time Off, Parental Leave, New Hire Equipment Stipend, Monthly Remote Work Stipend. [joinmidi.com/careers] - **Engineering culture**: Building a tech‑enabled healthcare platform with roles in fullstack, AI, data science, and product. Emphasis on impact and innovation. - **Growth trajectory**: Rapidly scaling company (105% headcount growth) offers opportunities for career advancement and ownership. ## Sources 1. [joinmidi.com/careers](https://www.joinmidi.com/careers) 2. [job-boards.greenhouse.io/midihealth](http://job-boards.greenhouse.io/midihealth) 3. [joinmidi.com/](https://www.joinmidi.com/) 4. [joinmidi.com/about-us](https://www.joinmidi.com/about-us) 5. 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