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Metro location, popular data-scientist title, and broad skillset requirements drive high competition.
Requires healthcare/life-sciences real-world data and commercial analytics, limiting transferability across industries.
Explicit masters/PhD plus 1–2 years and required SQL, Python, BI, and healthcare data make filters strict.
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Lead advanced analytics workstreams delivering high-impact analytical solutions for life sciences clients.
Develop and execute commercial analytics and business intelligence projects including marketing, sales, and real-world data analysis.
Design and deliver dashboards and visualizations to support strategic and operational decision-making for clients and internal teams.
Master’s degree in quantitative field (engineering, computer/data science, statistics, mathematics) plus 1-2 years relevant experience or PhD.
Proficient in SQL and Python/R/SAS for large dataset processing and analysis; strong Excel skills preferred.
Experience with business intelligence/dashboarding tools (Tableau, Power BI, Qlik Sense) and cloud analytics environments (AWS, Azure, Snowflake).
Experience with real-world healthcare/life sciences datasets (claims, EHR, lab, Rx, payer data); commercial analytics experience is required.
Experienced in commercial analytics for life sciences, comfortable translating ambiguous business challenges into structured analytical plans.
Capable of independently managing priorities and delivering actionable insights under tight consulting deadlines.
Strong communicator able to explain complex analytics clearly to non-technical stakeholders in a global, hybrid team environment.