Senior Statistician, Client Intelligence

Posted 15 hours ago

This is a fully remote position, open to applicants in California, +3 more states.

πŸ“‹ Description

β€’ Take charge of and enhance the existing program impact measurement capabilities created in-house and in collaboration with third-party experts such as IQVIA.

β€’ Create and uphold analytically rigorous benchmarks for program performance.

β€’ Engage in discussions regarding standard and customized measurement methodologies with clients during the pre-sale phase.

β€’ Deliver analysis findings to brand marketing teams and client analytics teams.

β€’ Guide and mentor Business Analytics Managers in interpreting measurement results, identifying actionable insights, and preparing for client discussions that drive increased sales and renewals.

β€’ Act as a statistical consultant and offer guidance to the Data Science team for advanced modeling techniques.

β€’ Assist in implementing and scaling survey and market-research-based measurement capabilities.

β€’ Oversee vendor relationships for acquiring third-party data.

β€’ Collaborate across functions with analysts, data scientists, engineers, and commercial stakeholders to generate actionable insights that enhance healthcare outcomes.


⛳️ Requirements

β€’ Over 10 years of professional experience in a quantitative or statistical role (e.g., statistician, biostatistician), specifically within healthcare, pharma, or a related field.

β€’ Practical experience with statistical methodologies and techniques such as test-vs-control study designs, covariate adjustment methods (e.g., ANCOVA), clustering, and more.

β€’ Deep understanding of HCP prescription and claims data, including how they are recorded and tracked by data vendors, their significance, and typical data gaps.

β€’ Advanced proficiency in SQL and Python, including the ability to write complex queries across multiple tables and familiarity with data science libraries.

β€’ Experience working with third-party analytics vendors such as IQVIA, including conducting independent studies, engaging in RFPs and contract negotiations, and maintaining professional relationships.

β€’ Background in applying data science techniques such as clustering and machine learning to sponsored engagement, utilizing Rx and Dx data to assess impact.

β€’ Proven ability to represent yourself externally and lead client discussions regarding program performance analysis.


🏝️ Benefits

β€’ Equity (where applicable).

β€’ Annual bonus or incentive compensation (where applicable).

β€’ Medical, dental, and vision insurance.

β€’ 401(k) with company match.

β€’ Flexible paid time off and company holidays.

β€’ Paid parental leave.

β€’ Professional development and learning opportunities.

β€’ Wellness and mental health resources.

β€’ Remote work support and home office stipend (where applicable).

β€’ Company outings, team lunches, and other social events.

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