Lead Data Scientist

Dermsquared

Lead Data Scientist building measurement and AI capabilities for HCEsquared healthcare solutions. Engage in key projects intersecting classical ML and modern AI to drive results.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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
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

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learning engineeringPythonSQLcausal inferenceexperimental designrecommendation systemsnext-best-action modelsfeature engineeringstructured extraction

Soft Skills

leadershipcommunicationjudgmentpresentation skills

Certifications

4-year degree