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Trinity Life Sciences

Data Science Intern

Trinity Life Sciences

. Analyze and interpret secondary and real-world data to address business objectives using SQL, Python, R, or other programming languages .

Posted 10/27/2026internshipUnited StatesEntry Level💰 $35 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data analysis using SQL, Python, and R, with a strong understanding of healthcare data and industry-specific terminology. Demonstrates excellent communication skills and the ability to work collaboratively in a fast-paced environment.

Highest-signal resume keywords
SQL ProgrammingPython ProgrammingData AnalysisHealthcare Data ExpertiseExcel Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonRData AnalysisStatistical AnalysisLarge Dataset ManagementData InterpretationCode Module DevelopmentBest Practices CreationHealthcare Data Analysis
Soft Skills
Problem-SolvingLogical ThinkingSelf-MotivationTeam CollaborationCommunication Skills
Tools & Technologies
ExcelPowerPoint
Industry Keywords
Healthcare TermsICDHCPCS/CPTNDCBusiness AnalysisData ScienceBiostatisticsEconomicsLife SciencesEngineering

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Analyze and interpret secondary and real-world data to address business objectives using SQL, Python, R, or other programming languages
  • Create best practices and standardized SQL/R/Python code modules for internal initiatives and efficiency across Trinity offerings
  • Support senior staff and project managers in adhering to project timelines
  • Provide ongoing support to clients on existing engagements
  • Develop understanding of available industry secondary data sources and evaluate the advantages and disadvantages of each
  • Work side-by-side with consultants and analysts
  • Participate in formal and informal training and mentorship

Requirements

What you’ll need
  • Must be enrolled in a Bachelor’s program as a rising senior or a Master’s program
  • Field of study in business, engineering, mathematics, biostatistics, data science, economics, or life sciences disciplines
  • Enrollment at a top-tier university
  • Legally authorized to work in the United States without employer sponsorship
  • Must not require sponsorship for visas, including TN, H1-B, F-1, or STEM OPT
  • Desire and ability to work in a dynamic, fast-paced environment
  • Proficiency in Excel and PowerPoint required
  • Strong technical ability in data analysis of large datasets, particularly healthcare data
  • Self-motivated, willing to take initiative, and appropriately independent
  • Enthusiasm for collaborative, team-based work
  • Strong problem-solving and logical-thinking skills
  • Excellent written and verbal communication and interpersonal skills
  • Familiarity with healthcare terms such as ICD, HCPCS/CPT, and NDC is nice to have

Benefits

Comp & perks
  • Formal and informal training
  • Mentorship
  • Paid internship at $35/hour
  • 9-week Summer internship program
  • In-person internship experience
  • Exposure to strategic business issues, life sciences industry, patient-level data sources, innovative technology, and AI tools