About us
Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are transforming outcomes for pregnant people and babies with evidence-based pregnancy and newborn care at scale. Our technology-driven care platform enables us to engage patients early, conduct individualized risk assessments for poor pregnancy outcomes, and deliver coordinated, personalized virtual care throughout pregnancy, NICU stays, and the first postpartum year. We measure ourselves by reductions in preterm births, NICU admissions, c-sections and maternal mortality; we improve outcomes and reduce healthcare spend.
Role Description
Your North Star: build analytic solutions that demonstrate Pomelo’s value to our payer partners.
We’re looking to bring on a data scientist experienced in healthcare outcomes assessment or program evaluation to join our growing data team. Trustworthy, actionable data plays a critical role in Pomelo’s mission to improve pregnancy outcomes. As a member of the data team, you will generate data and insights that informs both our business decisions and the care that we deliver to patients.
Responsibilities
- Architect and execute analyses that effectively assess the outcomes of Pomelo Care’s programs and initiatives in a scalable and repeatable manner
- Build data tables, pipelines and dashboards that combine diverse health data sources and make data insights accessible to teams
- Effectively communicate the value we’re delivering for patients
- Communicate results to our internal teams
- Collaborate closely with our technical, partnerships, and operations teams to understand Pomelo’s programs and associated user journeys, so that you can determine how to effectively assess their outcomes
- Work closely with other data scientists to guide technical investments and to scale our work
- Work on key publications associated with our healthcare outcomes
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,
- 2+ years professional experience in developing statistical and/ or machine learning 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, etc.)
- 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
- Proficient in R or Python
- Excellent executor: you know how to get things done under tight constraints, including making tough tradeoffs and/or getting scrappy when needed, without sacrificing core product or organizational values
- Excited to work cross-functionally across technical and non-technical stakeholders
- Strong problem-solver with good judgment and decision making in the interest of driving your team to pursue the highest expected value work
- Excellent written and verbal communicator
Bonus points if you have any of the following
- Strong preference for candidates proficient in SQL
- Formal training in statistics, econometrics, or actuarial sciences
- Experience presenting outcomes or cost of care analyses to external stakeholders, such as payers
- 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 where you will have a profound impact on the patients we serve. And you'll learn, grow, 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. We also offer:
- Competitive healthcare benefits
- Generous equity compensation
- Unlimited vacation
- Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)
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.
Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care. In accordance with New York City, Colorado, California, and other applicable laws, Pomelo Care is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. A reasonable estimate of the current salary range is $140,000 to $170,000. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.
