Data Science Intern

Trinity Life Sciences•Waltham, MA
•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. Formal and informal training and mentorship will help develop 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. Interns are paid $35 per hour and are expected to work 40 hours per week. Applicants must be legally authorized to work in the United States without employer sponsorship; Trinity cannot consider applicants who require visa sponsorship, including TN, H-1B, F-1, or STEM OPT sponsorship.

Requirements

  • Be enrolled at a top-tier university in a bachelor’s program as a rising senior or in a master’s program in business, engineering, mathematics, biostatistics, data science, economics, or a life sciences discipline.
  • Be proficient in Excel and PowerPoint.
  • Have strong technical ability in data analysis of large datasets, particularly healthcare data.
  • Be able and willing to work in a dynamic, fast-paced environment.
  • Be self-motivated, willing to take initiative, and appropriately independent.
  • Be enthusiastic about working collaboratively in a team-based environment.
  • Have strong problem-solving and logical-thinking skills.
  • Have excellent written and verbal communication and interpersonal skills.
  • Be legally authorized to work in the United States without employer sponsorship.

Nice To Haves

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

Responsibilities

  • Analyze and interpret secondary data, such as 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.
  • Provide ongoing support to clients on existing engagements and assist senior staff and project managers in adhering to project timelines.
  • Develop an understanding of available industry secondary data sources and assess the pros and cons of using each.
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