Biostatistics Intern - Analytics Team

HHC•Indianapolis, IN

23h

About The Position

Eskenazi Health serves as the public hospital division of the Health & Hospital Corporation of Marion County. Physicians provide a comprehensive range of primary and specialty care services at the 333-bed hospital and outpatient facilities both on and off of the Eskenazi Health downtown campus including at a network of Eskenazi Health Center sites located throughout Indianapolis. We are seeking a motivated and detail-oriented intern to join our research and analytics team. This position is ideal for a biostatistics graduate-level student with hands-on experience in regression modeling, statistical programming in R/Python, and an interest in ensuring fairness and transparency in data-driven health research. The intern will contribute to HIV-related projects that use real-world data (e.g., electronic health records) to develop statistical models while gaining exposure to principles of algorithmic fairness, performance evaluation, and health equity analytics. This is a grant-funded position planned to end in April 2026, with potential for extension. The primary role of this position will be in collaborating with clinicians, epidemiologists, and content experts to develop and determine the most appropriate models to predict: 1) the probability of Eskenazi Health patients getting screened for HIV, and 2) the probability of Eskenazi Health patients having an HIV diagnosis.

Requirements

Currently enrolled in either a master’s or doctoral level degree program in data science, statistics, engineering, information technology, computer science, informatics, or mathematics.
At least 2 years of previous healthcare analytical experience.
Prior experience with electronic health record data is strongly preferred.
Previous experience with data modeling and deployment.
Previous experience using big data technologies and cloud computing platforms.
Maintain employment without Visa sponsorship by Eskenazi.
Epic clinical workflows
Basic medical terminology
Data governance and stewardship principles
Strong problem solving and critical thinking
Develop and deploy statistical and machine learning models
Intermediate to advanced skills in Python/R
Strong written and verbal communication skills
Data cleaning, analysis
Work independently under the general direction of their leader.
Work directly with customers to analyze and understand their data.
Work with application teams to ensure system configuration and workflow are designed to allow the capture of reportable data.
Able to periodically adjust working hours based on business needs.
Ability to create code that calculates advanced statistics most used in business operations.

Responsibilities

Proactively contributes to Eskenazi Health’s mission: Advocate, Care, Teach and Serve with special emphasis on the vulnerable population of Marion County. Models Eskenazi values of P.R.I.D.E. (Professionalism, Respect, Innovation, Development and Excellence).
Develop, evaluate, and interpret regression-based approaches (e.g., linear, logistic, tree-based) and use ensemble-learning methods (e.g., bagging, boosting, stacking) to address research questions.
Assess model performance using metrics such as AIC, ROC/AUC, RMSE, calibration plots, or cross-validation.
Evaluate fairness and bias across demographic or social subgroups (e.g., race/ethnicity, gender, socioeconomic status).
Clean, merge, and manage large health-related datasets for analysis.
Conduct exploratory data analysis and identify data quality issues.
Create visualizations (e.g., residual plots, fairness dashboards) to communicate results clearly.
Document analytic workflows and maintain reproducible code using R and RMarkdown.
Collaborate with multidisciplinary researchers, clinicians, and data scientists to interpret findings.
Contribute to presentations, manuscripts, and internal reports summarizing methods and results.
Independently debugs problem queries or problem-solve complex reporting problems.