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About the Role
The Consultant is an integral member of project teams, working closely with cross-functional team members to deliver high-quality analytical solutions. The role involves designing, developing, and executing analyses on life sciences secondary data sources, including real-world evidence (RWE) data, to meet client needs and generate value-added insights. The Consultant will manage multiple projects concurrently, maintain high quality and accuracy, and contribute to client-facing activities.
Responsibilities
- Understand client business needs and creatively think through methodological solutions.
- Develop an understanding of industry secondary data sources and their pros and cons.
- Drive insights and key takeaways from data analyses and develop clear, concise presentations.
- Translate analysis findings into actionable insights for clients.
- Analyze and interpret secondary data to address business objectives using SQL, Python, or R.
- Gain methodological expertise by aiding in proposal development.
- Serve as the point of contact for assigned client deliverables, communicating internally and externally.
- 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.
- Support the execution of analytics product testing.
Requirements
- 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 of work experience in analyzing healthcare administrative claims data.
- Experience with life sciences real-world evidence data is a must.
- Experience developing analytical methods leveraging data to answer life science key business questions.
- 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).
- 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.
Skills
- SQL
- Python
- R
- MS Office Suite (Excel & PowerPoint)
- Business Intelligence tools (e.g. Tableau, PowerBI, etc.)
- git
- AI tools
Location
- Boston, Massachusetts
- Philadelphia
- Pennsylvania/New Jersey/NYC area
Work Type
- Full-time
Experience Level
- 2-3 years
Education Level
- BS
- MS
- PhD
- Masters
- Doctoral degree
Salary/Compensations
- $96,000 - $144,000 per year
Benefits
- Annual discretionary performance bonus
About the Company
- Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence.
- Trinity accelerates clarity and confidence at every step of the commercialization journey.
- For more than 30 years, leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership.
- Trinity expanded from its first office to 1,300 professionals across 14 offices and five continents.
- Trinity sets new industry standards in quality, responsiveness, and client partnership.
Equal Opportunity
- Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals.
- Inclusion and engagement are at the heart of how we work and grow together.
- Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully.
- Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities.