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Consultant, Enterprise Analytics Delivery

Trinity Life Sciences
Princeton, USA
Full-time
Junior · 2–3 years experience
Onsite
Discovered 3 days ago
pythonsqltableau

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About Trinity

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.

Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills, level of experience and training, specific qualifications, geographic location, internal equity, and other business/organizational needs. The base salary range for this role is $96,000 - $144,000 per year. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Trinity’s Commitment to Inclusion & Engagement (I&E) Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.

Qualifications

  • 2-3 years of work experience in analyzing healthcare administrative claims data (e.g., CMS, IQVIA, Merative MarketScan, HealthVerity, Komodo).
  • Experience with life sciences real-world evidence data is a must. Experience developing analytical methods leveraging data to answer life science key business questions such as line of therapy, compliance/persistence, patient journey
  • Extensive experience with MS Office Suite (Excel & PowerPoint)
  • Familiarity with Business Intelligence tools (e.g. Tableau, PowerBI, etc.) and git
  • Self-motivated, strong problem-solving skills, innovative with a positive attitude and eager to learn
  • Ability to manage time and work on multiple projects concurrently in a fast-paced environment
  • Excellent communication in English (written and verbal) and interpersonal relations skills
  • Ability to work in the Boston, Massachusetts, Philadelphia, or Pennsylvania/New Jersey/NYC area

Preferred Qualifications

  • Education: BS, MS or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics or Engineering. Demonstrated interest in the life sciences field is a plus. Graduate training (Masters/Doctoral degree) in STEM fields or Masters in Public Health strongly preferred.
  • 2-3 years programming skills for querying data for analysis using SQL with Python, R as optional. Demonstrated quantitative and analytical skills (including interpretation of statistics)

Responsibilities

  • Understand our clients’ business needs and creatively think through methodological solutions in collaboration with senior team members
  • Develop an understanding of industry secondary data sources available and weigh pros and cons of leveraging each data source available
  • Drive insights and key takeaways from data analyses and develop clear, concise presentations that outline business rules, study results and actionable insights for our clients
  • Add value by translating analysis findings into the “so-whats” for our clients
  • Analyze and interpret secondary data (e.g., real-world data) to address the business objectives, leveraging SQL, Python, R or other programing languages
  • Gain methodological expertise by aiding in proposal development as needed
  • Serve as the point of contact for assigned client deliverables, communicating internally and externally with clarity, conciseness and effective listening skills
  • Effectively leverage AI tools, applying them appropriately while maintaining strong quality control
  • Work closely with cross-functional subject matter experts to develop and interpret business rules for study analysis
  • Support in execution of analytics product testing with the guidance of senior managers

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