Research Analyst Summer Intern

Summary: Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. They are seeking a Research Analyst Intern to support the generation of real-world evidence using Truveta’s data platform and contribute to research that validates and demonstrates the power of their dataset across multiple clinical domains. Responsibilities: - Learn and apply the Truveta data model, research platform, and analytic tools to conduct observational research studies - Reproduce published clinical studies across multiple therapeutic areas (e.g., cardiology, oncology) using Truveta data, ensuring methodological rigor and comparability - Scale analyses to leverage the breadth of Truveta’s dataset, evaluating consistency of findings with existing literature and identifying opportunities for deeper insight - Collaborate with team members to design study cohorts, define variables, and implement analytic approaches aligned with published methodologies - Draft and contribute to scientific manuscripts, abstracts, and reports that clearly communicate study design, methods, and findings - Develop reusable templates for both study execution within the Truveta platform and manuscript preparation to support efficient, repeatable research workflows - Ensure high standards of data quality, reproducibility, and documentation throughout all stages of analysis - Present findings to internal stakeholders and incorporate feedback to refine analyses and outputs Required Qualifications: - Currently pursuing a Bachelor's, Master's, or Ph.D. in Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, or a related field - Strong analytical and problem-solving skills with attention to detail - Experience with data analysis using tools such as R, Python, SQL, or similar - Basic understanding of observational study design and real-world data (RWD) - Strong written and verbal communication skills, with an interest in scientific writing - Ability to work independently while collaborating effectively within a team environment Preferred Qualifications: - Coursework or experience in epidemiology, biostatistics, or clinical research methods - Familiarity with healthcare data, including EHR or claims data - Exposure to medical terminologies such as ICD-10, CPT, LOINC, SNOMED, or RxNorm - Experience reading and interpreting scientific literature and translating methods into reproducible analyses - Interest in developing reusable research frameworks, templates, or tooling Required Skills: Epidemiology, Biostatistics, Data Science, Public Health, Health Informatics, Data analysis, R, Python, SQL, Observational study design, Real-world data, Scientific writing, Analytical skills, Independent work Benefits: Company-issued laptop and equipment, Opportunities for future full-time positions