Data Science Intern

Trinity Life Sciences • Waltham, MA

21h • Onsite

About The Position

Trinity Life Sciences is hiring a Data Science Intern to support its growing Enterprise Analytics Delivery (EAD) function. The intern will work alongside consultants and analysts and gain exposure to strategic business issues, the life sciences industry, patient-level data sources, and technology and AI tools. The internship includes formal and informal training and mentorship focused on developing strategic, analytical, teamwork, and communication skills.

This is a nine-week, in-person summer internship running from June 15 to August 13, 2027. The role is based in Trinity’s Waltham, Massachusetts or New York City offices, pays $35 per hour, and is expected to require 40 hours per week. Applicants must be legally authorized to work in the United States without employer sponsorship; candidates requiring visa sponsorship cannot be considered.

Requirements

• Be enrolled as a rising senior in a bachelor’s program or be enrolled in a master’s program in business, engineering, mathematics, biostatistics, data science, economics, or a life sciences discipline at a top-tier university.
• Be legally authorized to work in the United States without employer sponsorship.
• Proficiency in Excel and PowerPoint.
• Strong technical ability in data analysis of large datasets, particularly healthcare data.
• Desire and ability to work in a dynamic, fast-paced environment.
• Self-motivated, willing to take initiative, and appropriately independent.
• Enthusiasm for collaborative work in a team-based environment.
• Strong problem-solving and logical-thinking skills.
• Excellent written and verbal communication and interpersonal skills.

Nice To Haves

• Familiarity with healthcare terminology such as ICD, HCPCS/CPT, and NDC.

Responsibilities

• Analyze and interpret secondary data, including real-world data, to address business objectives using SQL, Python, R, or other programming languages.
• Support internal initiatives by creating best practices and standardized SQL, R, or Python code modules to improve efficiency across Trinity offerings.
• Support senior staff and project managers in adhering to project timelines and provide ongoing support to clients on existing engagements.
• Develop an understanding of available secondary data sources in the industry and assess the advantages and disadvantages of using each source.

What This Job Offers

• Career Level: Intern