We are hiring for this position in Trinity’s Waltham, MA office or NYC offices.
Trinity Life Sciences is looking for a talented, committed, and energetic individual to join our team as a Data Science Intern to support our growing Enterprise Analytics Delivery (EAD) function. This position will work side-by-side with other consultants and analysts. Opportunity to gain exposure to a wide variety of strategic business issues, as well as the opportunity to gain in-depth knowledge of the life sciences industry, ranging from small biotech’s to large pharma. Further, the intern will gain exposure to many of the leading patient-level data sources in the industry as well as innovative technology and AI tools.
Interns will develop their skills through formal and informal training, as well as receiving mentorship that encourages them to build their strategic, analytical, teamwork, and communication skills. This is a 9-week, in-person Summer internship and the program will run from June 15 to August 13, 2027. Interns will be paid $35/hour and are expected to work 40 hours/week.
Applicants for this position must be legally authorized to work in the United States without the need for employer sponsorship. Trinity is unable to consider candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, and STEM OPT.
Essential Functions:
- Analyze and interpret secondary data (e.g., real-world data) to address the business objectives, leveraging SQL, Python, R or other programing languages
- Support internal initiatives by creating best practices and standardized code modules in SQL/R/Python to help increase efficiency across Trinity offerings
- Assist senior staff and project managers to adhere to project timelines by providing ongoing support to client for existing engagements
- Develop an understanding of industry secondary data sources available and weigh pros and cons of leveraging each data source available
Education: Enrolled in a Bachelor’s (must be rising senior) or Master’s program in business, engineering, mathematics, biostatistics, data science, economics or life sciences disciplines at a top-tier university.
Other Skills:
- Desire and ability to work in a dynamic, fast-paced environment
- Proficiency in Excel and PowerPoint is required
- Have strong technical ability in data analysis of large datasets, particularly with healthcare data
- Self-motivated, willing to take initiative, and appropriately independent
- Enthusiasm for working collaboratively in a team-based environment
- Strong problem solving and logical thinking skill
- Excellent communication (written and verbal) and interpersonal skills
- Familiarity with healthcare terms (e.g., ICD, HCPCS/CPT, NDC) is a nice to have
About Us
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 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.
Skills Required
- Legally authorized to work in the United States without employer sponsorship
- Currently enrolled in a Bachelor's degree program and must be a rising senior, or enrolled in a Master's program
- Degree or field of study in business, engineering, mathematics, biostatistics, data science, economics, or life sciences
- Proficiency in Microsoft Excel and PowerPoint
- Strong technical ability in data analysis of large datasets, particularly healthcare data
- Ability to analyze and interpret secondary or real-world data
- Experience or ability to use SQL, Python, R, or other programming languages
- Strong problem-solving and logical-thinking skills
- Excellent written and verbal communication and interpersonal skills
- Ability to work collaboratively in a team-based environment
- Self-motivated, willing to take initiative, and appropriately independent
- Ability to work in a dynamic, fast-paced environment
- Familiarity with healthcare terms such as ICD, HCPCS/CPT, and NDC
What We Do
Trinity Life Sciences is a modern partner to companies in the life sciences industry with nearly 30 years of expertise. The firm combines strategy, insights, and analytics to help life science executives with clinical and commercial decision-making. Serving over 300 pharmaceutical, biotech, and medical device clients, Trinity helps them develop the right drugs and devices for today’s market and optimize them once in market.
