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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 .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant 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 & technologiesPythonSQL
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