Lead Data Scientist

HCEsquared

6d • Remote

About The Position

We are hiring a Lead Data Scientist to build the measurement and AI capabilities that define how HCEsquared creates and demonstrates value — for pharmaceutical sponsors, for HCPs on our platform, and for every new specialty we enter. You are building the function, not inheriting one. The role sits at the intersection of classical ML and modern AI: causal lift measurement, next-best-action engines, recommendation systems, and LLM-assisted analytical workflows.

Requirements

• Demonstrated leadership essentials as described above
• 4-year degree from an accredited academic institution
• 5+ years in applied data science, ML engineering, or a closely related quantitative field, with production models deployed — not just research prototypes
• Production-quality Python and advanced SQL; hands-on experience with a modern cloud data warehouse at scale (e.g., Snowflake, BigQuery, Databricks)
• Experience deploying models on a major cloud ML platform (e.g., AWS SageMaker, GCP Vertex AI, Azure ML) and working with modern ML tooling — feature stores, experiment tracking, model registries, A/B testing, and production monitoring
• Hands-on experience applying LLMs and generative AI — prompt engineering, structured extraction, RAG, or LLM-assisted feature generation — with judgment about when LLMs add value vs. when classical methods do
• Strong causal inference and experimental design background — matched and synthetic controls, difference-in-differences, propensity score matching, instrumental variables
• Experience building recommendation, next-best-action, or audience scoring systems at scale using behavioral and third-party data
• Able to communicate statistical methodology and model behavior clearly to non-technical audiences, including commercial and medical affairs stakeholders

Nice To Haves

• Healthcare, life sciences, pharma analytics, or digital health experience strongly preferred
• Experience with real-world claims or HCP data, or scaling capabilities across multiple markets, is a plus

Responsibilities

• Shape the data science roadmap: Identify measurement, audience, and AI capabilities that create value in each specialty market, and build a function that scales with the business.
• Build causal lift measurement: Own the framework that demonstrates how HCP engagement drives real-world prescribing change — matched and synthetic controls, lookalike populations, methodologies defensible to pharmaceutical medical affairs and legal, and repeatable across therapeutic areas.
• Build decisioning and personalization systems: Develop next-best-action, recommendation, and audience intelligence models that personalize the HCP experience and identify high-value audiences for sponsor targeting at scale.
• Apply LLMs and generative AI across the workflow: Use them for structured extraction, feature engineering, insight generation, and HCP profile enrichment — wherever they cut time-to-insight without compromising rigor.
• Translate findings into commercial products: Turn model outputs into sponsor-facing measurement reports, audience intelligence packages, and ROI dashboards, and present methodology directly to pharmaceutical medical affairs and commercial teams.
• Own the ML platform layer: Feature engineering, experiment tracking, model registry, A/B and holdout frameworks, and production monitoring on the company's cloud and data warehouse stack.

Benefits

• Fully remote work environment with a flexible time off policy
• Dedicated professional development support, including reimbursement for approved learning and development activities.
• Comprehensive wellness benefits, including medical, vision, and dental coverage, with a significant portion of premiums subsidized for employees and eligible dependents, as well as access to HSA, FSA, and Dependent Care FSA plans
• Employer-paid life insurance, short-term disability, and long-term disability coverage
• 401(k) retirement plan with company matching
• Cell phone reimbursement for business use
• Home office stipend to support a productive remote setup

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree