Job description

About us Pomelo Care is the leading virtual medical practice for women and children, providing care across pregnancy, postpartum, pediatrics, menopause, and perimenopause. We combine proactive, 24/7 clinical care with technology that helps us reach patients earlier, identify risks sooner, and deliver personalized care throughout their journey. Our team includes clinicians, technologists, operators, and problem-solvers working together to make high-quality care more accessible for families nationwide. About The Role: Your north star: Own how Pomelo's clinical and economic impact is measured, proven, and presented - to our payer partners, to external partners, and in published research. We're looking for a data scientist experienced in healthcare outcomes assessment or program evaluation to join our Health Economics team. Trustworthy, actionable data plays a critical role in Pomelo's mission to improve pregnancy outcomes. Why this role matters : This role goes far beyond reporting. The analyses you produce feed directly into renewal and expansion negotiations with national payers, shape how new risk-based and value-based offerings are structured, and become the evidence base we publish. You'll inherit a strong foundation of established methods and infrastructure, and you'll regularly need to build on it to answer novel questions, explore new methodologies, and communicate results to audiences with very different backgrounds. You will have direct influence on how we measure impact and tell our story externally. What you'll do: Own the question as well as the analysis. Take large, ambiguous mandates and break them into definitions, assumptions, and key questions to align stakeholders Architect and execute analyses that assess the outcomes of Pomelo Care's programs in a scalable, repeatable way. Where existing approaches don't reach, you'll extend them or build something new, and stand behind those choices under scrutiny Lead Pomelo's technical engagement with external partners: presenting directly, aligning on methodology and parameters, and building credibility with evaluation teams Drive our evidence strategy end to end: partner-facing reporting, conference presentations, and peer-reviewed publications Build data tables, pipelines, and dashboards that combine diverse health data sources and make insights accessible across teams Identify opportunities to scale and automate insights in partnership with the data and analytics engineering teams Serve as Pomelo's expert on statistics and health economics: define the methodologies we use for evaluation, mentor other data scientists, and guide where we invest technically Who you are: You are a collaborative problem solver and analytic thinker who is focused on driving impact, and excited to work at a startup. Specifically, 6+ years professional experience developing statistical models to answer complex healthcare problems using varied techniques (e.g., propensity score matching, linear and logistic regressions, k-means clustering, difference-in-differences, decision trees) Experience with cost of care or clinical outcomes target setting at a payer, managed care organization, integrated delivery network, value-based care provider, or healthcare consulting firm Experience presenting statistical analyses to external stakeholders with varied technical expertise Proficient in Python or R Proficient in SQL You do your best work when the goal is ambiguous. You are comfortable telling others "here's what I recommend and why" rather than waiting to be told what to analyze You have the technical depth to run a publication-grade evaluation and the judgment to know when a scrappy proof-of-concept is the better call. You never lose sight of why the work matters to the business Excellent written and verbal communicator, comfortable across technical and non-technical audiences Bonus points if you have any of the following Formal training in statistics, econometrics, or actuarial science Experience with risk-based or value-based contracting, including opportunity sizing and ROI modeling Experience with medical claims data Peer-reviewed publications in health outcomes or health economics Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase) Experience working with dbt Why you should join our team By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged, and have fun with your team while doing it. We strive to create an environment where employees from all backgrounds are respected. We value working across disciplines, moving fast, data-driven decision making, learning, and always putting the patient first. Benefits and Perks: Comprehensive Health, Dental, and Vision coverage for employees and their families High deductible Health Plans with Health Savings Account (HSA) options Flexible Spending Account (FSA) Equity grant participation 401(k) program Competitive vacation policy 16 weeks paid parental leave Fully remote work flexibility (within the US) Compensation: The expected base salary range offered for this role is $220,000 - $250,000. This role is also eligible for equity, giving you an ownership stake in Pomelo’s mission. Actual compensation may vary based on relevant experience, skills, competencies, and certifications. At Pomelo, we are committed to hiring the best team to improve outcomes for all mothers and babies, regardless of their background. We need diverse perspectives to reflect the diversity of problems we face and the population we serve. We look to hire people from a variety of backgrounds, including but not limited to race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status. Potential Fraud Warning Please be cautious of potential recruitment fraud. With the increase of remote work and digital hiring, phishing and job scams are on the rise with malicious actors impersonating real employees and sending fake job offers in an effort to collect personal or financial information. Pomelo Care will never ask you to pay a fee or download software as part of the interview process with our company. Pomelo Care will also never ask for your personal banking or other financial information until after you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All official communication with Pomelo Care People Operations team will come from domain email addresses ending in @pomelocare.com. If you receive a message that seems suspicious, we encourage you to pause communication and contact us directly at careers@pomelocare.com to confirm its legitimacy. For your safety, we also recommend applying only through our official Careers page. If you believe you have been the victim of a scam or identity theft, please contact your local law enforcement agency or another trusted authority for guidance.

Requirements

Must-haves

Own the question as well as the analysis. Take large, ambiguous mandates and break them into definitions, assumptions, and key questions to align stakeholders
Lead Pomelo's technical engagement with external partners: presenting directly, aligning on methodology and parameters, and building credibility with evaluation teams
Drive our evidence strategy end to end: partner-facing reporting, conference presentations, and peer-reviewed publications
Build data tables, pipelines, and dashboards that combine diverse health data sources and make insights accessible across teams
Identify opportunities to scale and automate insights in partnership with the data and analytics engineering teams
Serve as Pomelo's expert on statistics and health economics: define the methodologies we use for evaluation, mentor other data scientists, and guide where we invest technically
You are a collaborative problem solver and analytic thinker who is focused on driving impact, and excited to work at a startup. Specifically,
Experience with cost of care or clinical outcomes target setting at a payer, managed care organization, integrated delivery network, value-based care provider, or healthcare consulting firm
Experience presenting statistical analyses to external stakeholders with varied technical expertise
Proficient in Python or R
Proficient in SQL
You do your best work when the goal is ambiguous. You are comfortable telling others "here's what I recommend and why" rather than waiting to be told what to analyze
You have the technical depth to run a publication-grade evaluation and the judgment to know when a scrappy proof-of-concept is the better call. You never lose sight of why the work matters to the business
Excellent written and verbal communicator, comfortable across technical and non-technical audiences
Formal training in statistics, econometrics, or actuarial science
Experience with risk-based or value-based contracting, including opportunity sizing and ROI modeling
Experience with medical claims data
Peer-reviewed publications in health outcomes or health economics
Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
Experience working with dbt
Why you should join our team
We strive to create an environment where employees from all backgrounds are respected. We value working across disciplines, moving fast, data-driven decision making, learning, and always putting the patient first.

Nice-to-haves

Bonus points if you have any of the following

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave