Head of Data Science – Analytics

Leap

. Lead Leap’s data science and analytics work identifying patients who may benefit from specialty care support .

Posted 10/16/2026full-timeRemote • United StatesLead💰 $200,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical and machine learning methods applied to healthcare data, with a focus on model development, validation, and operational integration. Proven ability to lead teams, communicate complex findings, and drive data-driven decision-making in a fast-paced environment.

Highest-signal resume keywords

Statistical ModelingMachine Learning MethodsHealthcare Data AnalysisTeam LeadershipForecasting Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Hierarchical ModelingBayesian ModelingSurvival AnalysisCausal InferenceSimulation TechniquesData ValidationPerformance MeasurementAnalytical Data ModelingExperimental MethodsObservational Methods

Soft Skills

Effective CommunicationCuriosityRigorPractical Experimentation

Tools & Technologies

AI ToolsSelf-Service Reporting ToolsOmniLookerDbt

Certifications & Qualifications

Advanced Degree in StatisticsBiostatisticsComputer ScienceApplied MathematicsEconomicsEpidemiology

Industry Keywords

Healthcare DatasetsClaims DataEligibility DataSpecialty PharmacyPayerPBMHealth BenefitsClinical Outcomes Analytics

About the role

Key responsibilities & impact

Lead Leap’s data science and analytics work identifying patients who may benefit from specialty care support
Develop methods and predictive models using medical and pharmacy claims, eligibility records, clinical information, and operational data
Translate incomplete and fragmented observations into signals about therapy utilization, treatment status, care transitions, and engagement opportunities
Develop and validate models of patient engagement, treatment initiation, adherence, and persistence
Evaluate model accuracy, calibration, bias, and operational usefulness
Partner with Engineering, Product, and Clinical Operations to deploy validated methods and monitor performance
Build population-level models connecting covered lives to specialty therapy utilization, serviceable members, active patients, and treatment volume
Apply hierarchical models, time-to-event analysis, simulation, and other statistical methods to quantify uncertainty
Forecast performance by client, therapy, and time period; backtest forecasts and investigate deviations
Translate forecasts into procurement, clinical capacity, client strategy, and financial planning decisions
Develop methodologies for estimating savings, adherence, access to care, and broader program impact
Define baselines and counterfactuals and account for selection, treatment mix, site of care, pricing, and observation periods
Design experiments and observational analyses for engagement and care interventions
Partner with Finance, Clinical, and Client Success leaders on reproducible, explainable methods and reporting
Create a cross-functional roadmap for models, analyses, operational reporting, and quality controls
Strengthen shared metrics, reporting infrastructure, data definitions, and analytical models
Expand Omni and underlying analytical models into a self-service environment for dashboards, ad hoc analyses, and AI-assisted queries
Own reporting lifecycle, including requirements, acceptance criteria, output validation, adoption, and maintenance
Maintain the business data dictionary and documentation of methods and source lineage
Establish standards for reviewing, testing, and validating models, analyses, and recurring reporting
Partner with Engineering on data completeness, freshness, identity matching, and reconciliation checks
Ensure important patient and operational events are consistently represented in analytical workflows
Make results reproducible through shared logic, version control, documented assumptions, and peer review
Lead the scientific and analytical direction for Leap
Hire, develop, and lead data scientists and analysts
Communicate complex methods and findings clearly
Build a culture of curiosity, rigor, and practical experimentation
Report to Leap’s President and co-founder

Requirements

What you’ll need

Developed statistical or machine learning methods that informed real decisions or became part of operational workflows, including validation and ongoing performance ownership
Strong statistical foundations and experience with hierarchical or Bayesian modeling, forecasting, survival analysis, causal inference, or simulation
Hands-on experience with large healthcare datasets, including claims or eligibility data
Understanding of healthcare data coding, timing, completeness, and interpretation challenges
Experience working with functional leaders to define outcome and performance measurement
Experience building roadmaps and delivering models, reporting, and quality controls
Led data scientists or analysts, or built substantial capability as an early technical hire
Effective use of AI tools with independent judgment, reproducibility, and appropriate validation
Preferred: experience in specialty pharmacy, payer, PBM, actuarial, health benefits, or clinical outcomes analytics
Preferred: experience identifying patient cohorts or treatment patterns from longitudinal healthcare data
Preferred: experience measuring healthcare costs, adherence, or program impact using experimental or observational methods
Preferred: experience forecasting low-frequency, high-cost events or heterogeneous populations with limited historical data
Preferred: experience with analytical data modeling, semantic layers, and self-service reporting tools such as dbt, Omni, or Looker
Preferred: advanced degree in statistics, biostatistics, computer science, applied mathematics, economics, epidemiology, or related quantitative field, or equivalent applied experience
Preferred: experience building in a fast-growing company
United States work authorization and visa sponsorship information requested in the application

Benefits

Comp & perks

Equity / stock options
Competitive total rewards package
Benefits
Up to 3 applications in any 90-day period
Ability to reapply to the same role after 60 days if not offered the role