Life Sciences Enterprise Analytics Consultant

Trinity Partners, LLC

West Windsor (NJ)

Hybrid

USD 96.000 - 144.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Trinity Life Sciences is seeking a talented Consultant to join the Enterprise Analytics Delivery team. You will design, develop, and execute analyses on life sciences secondary data sources, including real-world evidence data, and present findings to clients and project teams.

You will work with SQL, Python, R, and BI tools to translate analysis into actionable insights, manage multiple projects, and contribute to proposals. Boston, Philadelphia, or PA/NJ/NYC area experience preferred.

Qualifikationen

  • 2–3 years analyzing healthcare administrative claims data (e.g., CMS, IQVIA, Merative MarketScan).
  • Experience with life sciences real-world evidence data is required.
  • Proficiency in SQL; Python or R preferred for analyses.
  • Strong communication and presentation skills in English.

Aufgaben

  • Understand client business needs and develop methodological solutions with senior team input.
  • Develop understanding of secondary data sources and weigh pros/cons of data sources.
  • Drive insights and present findings with clear business rules and actionable insights.
  • Communicate project updates to clients and internal teams clearly.

Kenntnisse

SQL
Python
R
Data analysis
Communication
MS Office
Tableau/Power BI
Git

Ausbildung

BS/MS/PhD in Public Health/CS/Math/Stats/Engineering

Tools

SQL
Python
R
Tableau/Power BI
Git

Jobbeschreibung

Trinity Life Sciences is seeking a talented Consultant to join the Enterprise Analytics Delivery team. You will design, develop, and execute analyses on life sciences secondary data sources, including real-world evidence data, and present findings to clients and project teams.

You will work with SQL, Python, R, and BI tools to translate analysis into actionable insights, manage multiple projects, and contribute to proposals. Boston, Philadelphia, or PA/NJ/NYC area experience preferred.

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