Head of Data Science – Analytics

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $200k - $250k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leap

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🛡️ Insurance

💼 Consulting

🏥 Healthcare

💰 $1M Venture Round - LEAP HEALTH on 2024-03

Insurance • Consulting • Healthcare

Leap is the only transparent specialty infusion benefit solution for employers. It eliminates hidden drug markups and provides end-to-end coordination of specialty infusion care — from pharmacy sourcing to in-home nursing — to reduce specialty drug costs and simplify the patient experience. Leap serves self-funded employers, brokers/consultants, and patients with a tech-enabled care model that cuts infusion spending, improves engagement, and delivers in-year hard-dollar savings.

📋 Description

• 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

• 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

• 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