Job Details

Job SummarySolera is seeking a Data Scientist to join our Insights team. You will work with large-scale claims and product engagement data to answer questions that matter to the business: Does our product improve health outcomes? How much does it save? Where are patients disengaging, and why? Your analyses will directly support enterprise sales, inform product decisions, and shape company strategy. You will work closely with our health economics team to design and execute rigorous analyses that demonstrate real-world value to customers.This is a high-impact role on a small team where your work directly influences business outcomes and product direction. You will be mentored directly by the team lead, with increasing ownership as you grow.Key ResponsibilitiesExecute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods)Conduct analyses to measure the cost and outcomes impact of Solera's programsInvestigate product and engagement data toidentifypatterns, drop-off points, and opportunities to improve outcomesBuild andmaintainanalysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurementContribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iterationCollaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insightsDocument methodologies and findings clearly enough to withstand external scrutinyWork with cloud data infrastructure (BigQuery, GCS,Dataproc) to query, transform, and analyze large datasetsEducation & ExperienceBachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, or a related quantitative field (required)Master's degree in Biostatistics, Statistics, or a related discipline strongly preferred — or a CS/Data Science degree with significant coursework in statistics, causal inference, and study design1-3 years of professional experience in data science, statistical analysis, or quantitative research (graduate research, thesis work, or internships count)Strong foundationin statistical methods: regression, hypothesis testing, study designFamiliarity with causal inference concepts and when they apply — through coursework, research, or professional experienceAbility to assess data quality,identifyinconsistencies, and understand how upstream issues affect downstream resultsPython and SQLproficiency— you will build andmaintainanalysis pipelines, not just run ad-hoc queries. We will train you on our stack (PySpark,BigQuery, GCS), but you should be comfortable writing and reviewing code in a collaborative engineering environment.Preferred QualificationsExperience working with messy, real-world datasets (healthcare claims, EHR, insurance, government/public-use data, etc.)Familiarity with healthcare data concepts (diagnosis codes, episode grouping, cost metrics, FHIR)Experience with machine learning (scikit-learn,PyTorch, Spark ML, or similar)Experience with survival analysis or longitudinal data methodsExposure to health economics, health services research, or outcomes research — through coursework, research, or industry experienceComfort using AI tools to improve productivity (e.g., Claude, Cursor)Core AttributesAttention todetail: Youvalidateresults against expectations anddon'thand off work youhaven'tdouble-checked.Eagerness tolearn: You seek out what youdon'tknow rather than waiting to be taught.Reliability: You follow through on commitments and communicate early when thingsaren'tgoing as planned.Curiosity: You want to understand the problem, not just complete the task. You ask why, dig into unexpected results, andaren'tsatisfied with an answer thatdoesn't make sense.Communication: You can explain yourmethodologyand results clearly to both technical and non-technical audiences.LocationThis is a remote position based in the United StatesWhat We OfferCompetitive salaryComprehensive medical, dental, and vision coverage starting Day OneFlexible time off beyond standard company holidays401(k) with company match and financial wellness resourcesGenerous parental leave and adoption assistanceRemote-first work culture with team events and community buildingPhone stipend and wellness perks (Fitbit, fitness/mental health app access)Work AuthorizationApplicants must be currently authorized to work in the United States on a full-time basis. Solera Health is not able to sponsor or transfer employment visas for this position.Disclaimer: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time.Solera Health provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Solera Health complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.