Responsibilities

• Build the audiences.
• Develop HCP propensity, lookalike, and segmentation models on medical and pharmacy claims, plus the patient journey, line-of-therapy, switching, and adherence analyses underneath them. Deliver outputs in a form media and strategy partners can activate.
• Write the SQL that makes it possible.
• Most of this work starts as a hard query against large, messy claims data. This is the core craft of the role.
• Help build our AI products.
• Work on initiatives such as synthetic market-research persona panels, automated client reporting, and new-business audience generation, helping move them from working prototypes toward reliable production solutions.
• Check the AI's work.
• Help define quality standards for AI-generated outputs, including audience narratives and physician panel simulations. Build evaluation sets and scoring frameworks that determine when outputs are trustworthy and when they are not.
• Read campaign performance.
• Support the design of holdout, geo, and matched-market tests, and help interrogate the measurement our media partners deliver rather than taking it at face value.

Requirements

• 5-7 years in data science, marketing analytics, or a related analytical role.
• Advanced SQL. You can write production-grade queries against a cloud warehouse (Amazon Redshift) over large, messy transactional data. This is the hard requirement.
• Python for analysis and modeling, including pandas, scikit-learn, and some exposure to gradient boosting (XGBoost or similar). Version control as a habit.
• A solid foundation in statistics and experimentation. You understand concepts such as holdouts, testing methodologies, and the distinction between correlation and causation.
• Ability to explain complex analyses clearly to non-technical stakeholders and defend methodology when needed.
• Curiosity about applied AI and enough hands-on exposure to have formed opinions about where LLM output succeeds and where it falls short.

Preferred

• Healthcare claims experience with Symphony, IQVIA, or similar open-claims/APLD data, including fluency with ICD-10, NDC, NPI, and line-of-therapy logic. This is the single biggest accelerator into the role.
• Pharmaceutical or healthcare marketing experience, including HCP and/or DTC marketing and an understanding of how MLR review and data-use restrictions shape what can be delivered.
• Experience with consumer or digital data sources including Epsilon, Adobe Analytics, GA4, or similar datasets and platforms.
• Experience with incrementality testing, attribution, or campaign measurement.
• Experience building products or workflows using LLMs or routinely working AI-assisted as part of your development process.
• Experience with Streamlit, dashboarding, programmatic deck generation, or other prototyping tools that help bring ideas to life quickly.

Benefits

• medical coverage
• dental
• vision
• disability
• 401K
• parential and family care leave
• family forming assistance
• tuition reimbursement
• flexible time off