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Trinity Life Sciences

Life sciences consulting with data-driven insights

Enterprise Analytics Delivery Consultant

Data AnalysisUpdated on Nov 12
Full-time

About the Job

Requirements

  • A BS, MS, or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics, or Engineering is required.
  • Two to three years of work experience analyzing healthcare administrative claims data is required.
  • Experience with life sciences real-world evidence data is required.
  • Experience developing analytical methods using data to answer life-sciences business questions such as line of therapy, compliance or persistence, and patient journey is required.
  • Two to three years of programming skills for querying data for analysis using SQL is required; Python and R are optional.
  • Demonstrated quantitative and analytical skills, including interpretation of statistics, are required.
  • Extensive experience with Microsoft Office Suite, including Excel and PowerPoint, is required.
  • Familiarity with business intelligence tools such as Tableau or Power BI and with Git is required.
  • Ability to work in the Boston, Massachusetts, Philadelphia, or Pennsylvania/New Jersey/New York City area is required.
  • Excellent written and verbal communication in English is required.

Responsibilities

  • Design, develop, and execute analyses on life-sciences secondary data sources, including real-world evidence data such as administrative claims, to meet client and internal project needs and generate insights.
  • Communicate with project team members, including managers, about project assignments.
  • Manage multiple projects and project types concurrently while maintaining quality and accuracy.
  • Contribute to client-facing activities, including presenting findings and communicating results to clients.
  • Understand clients’ business needs and develop methodological solutions in collaboration with senior team members.
  • Develop an understanding of available industry secondary data sources and assess the advantages and disadvantages of using each source.
  • Derive insights and key takeaways from data analyses and develop concise presentations outlining business rules, study results, and actionable client insights.
  • Translate analysis findings into practical implications for clients.
  • Analyze and interpret secondary data, including real-world data, to address business objectives using SQL, Python, R, or other programming languages.
  • Aid in proposal development as needed to build methodological expertise.
  • Serve as the point of contact for assigned client deliverables, communicating clearly and concisely with internal and external stakeholders and listening effectively.
  • Use AI tools appropriately while maintaining strong quality control.
  • Work with cross-functional subject matter experts to develop and interpret business rules for study analyses.
  • Support analytics product testing under the guidance of senior managers.

Desired Qualifications

  • Demonstrated interest in the life-sciences field is a plus.
  • Graduate training (master’s or doctoral degree) in a STEM field, or a master’s degree in Public Health, is strongly preferred.

About the Company

Trinity Life Sciences

Life sciences consulting with data-driven insights

Trinity Life Sciences helps life sciences companies turn data into strategic guidance for commercial success. Its three-tier model combines advisory services, insights and analytics, and technology to support product planning from clinical development through launch and in-market optimization. The firm uses platforms like TrinityEDGE, Launch Accelerator, TGaS Advisors Benchmarking, and AI/ML capabilities from D Cube Analytics to deliver evidence-based recommendations across portfolio strategy, market access, and pricing. It differentiates itself by integrating advisory, analytics, and technology within one firm and expanding capabilities through acquisitions and a Bain & Company partnership, enabling more comprehensive programs than traditional consultants. The goal is to maximize the commercial success of clients’ products by providing data-driven strategy and tech-enabled insights throughout the product lifecycle.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Waltham, MA
Founded
1996

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