Consultant, Enterprise Analytics Delivery

Trinity Life Sciences•East Norriton Township, PA
•$96,000 - $144,000

About The Position

The Consultant is an integral member of Trinity’s growing Enterprise Analytics Delivery team, working with consultants, project managers, and subject matter experts to deliver high-quality analytical solutions. The role designs, develops, and executes analyses using life sciences secondary data sources, including real-world evidence (RWE) data such as administrative claims, to meet client and internal project needs and generate value-added insights. The Consultant communicates with project team members and managers about project assignments, manages multiple projects and project types concurrently, maintains a high degree of quality and accuracy, and contributes to client-facing work by presenting findings and communicating results. The position calls for interpreting healthcare and life sciences data to answer business questions, developing methodological solutions in collaboration with senior colleagues, and translating analytical findings into clear, actionable client insights. The Consultant may also support proposal development and analytics product testing, and is expected to use AI tools appropriately while maintaining strong quality control. The role requires the ability to work in the Boston, Massachusetts, Philadelphia, or Pennsylvania/New Jersey/NYC area.

Requirements

  • Bachelor’s, master’s, or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics, or Engineering.
  • 2–3 years of experience analyzing healthcare administrative claims data, such as CMS, IQVIA, Merative MarketScan, HealthVerity, or Komodo data.
  • Experience with life sciences real-world evidence data.
  • Experience developing analytical methods using data to answer life sciences business questions, such as line of therapy, compliance/persistence, and patient journey.
  • 2–3 years of programming experience querying data for analysis using SQL; Python and R are optional.
  • Demonstrated quantitative and analytical skills, including interpretation of statistics.
  • Extensive experience with Microsoft Office Suite, especially Excel and PowerPoint.
  • Self-motivation, strong problem-solving skills, innovation, a positive attitude, and eagerness to learn.
  • Ability to manage time and work on multiple projects concurrently in a fast-paced environment.
  • Excellent written and verbal English communication and interpersonal skills.
  • Ability to work in the Boston, Massachusetts, Philadelphia, or Pennsylvania/New Jersey/NYC area.

Nice To Haves

  • Demonstrated interest in the life sciences field.
  • Graduate training in a STEM field or a master’s degree in Public Health.
  • Familiarity with business intelligence tools such as Tableau or Power BI.
  • Familiarity with Git.

Responsibilities

  • Understand clients’ business needs and develop methodological solutions in collaboration with senior team members.
  • Build knowledge of available industry secondary data sources and assess the advantages and disadvantages of using them.
  • Analyze and interpret secondary data, including real-world data, to address business objectives using SQL, Python, R, or other programming languages.
  • Develop clear, concise presentations outlining business rules, study results, and actionable insights for clients.
  • Translate analysis findings into relevant business implications and recommendations for clients.
  • Support proposal development as needed to build methodological expertise.
  • Serve as the point of contact for assigned client deliverables, communicating clearly and effectively with internal and external stakeholders.
  • Use AI tools appropriately while maintaining strong quality control.
  • Collaborate 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.
  • Manage multiple projects concurrently while maintaining quality and accuracy.

Benefits

  • Annual discretionary performance bonus
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