Bioinformatics Research Intern – Imaging & Data Analysis

Indiana Biosciences Research Institute (IBRI); Indianapolis (IN); On-site; USD 40,000 - 47,000; Full time

Job summary

Indiana Biosciences Research Institute (IBRI) invites students to join a summer internship focused on bioinformatics, imaging data, and computational biology. Interns will analyze high-content imaging data and develop tools to manage large datasets.

The program runs May 17, 2027 – August 6, 2027 with a 35-hour work week and a stipend of $9,650 for the full program, disbursed bi-weekly. Interns will gain hands-on experience learning from scientists and data professionals.

Qualifications

• High school diploma or equivalent; currently enrolled in a bachelor’s program in bioinformatics, informatics, biology, or a related field.
• Coursework or hands-on experience in bioinformatics, computational biology, or data analysis.
• Programming or scripting experience in Python, R, or similar languages.

Responsibilities

• Support high-content imaging projects and image-based data analysis.
• Help organize and analyze large datasets from cellular images.
• Use Python, R, or similar tools to process data and create summaries.
• Improve documentation so analyses are clear and reproducible.
• Work with research teams to turn data into useful insights.

Skills

Bioinformatics concepts

Analytical thinking

Team collaboration

Communication skills

Education

High school diploma or equivalent

Bachelor’s program in bioinformatics, informatics, biology, or related field

Tools

Python

R

Job description

Indiana Biosciences Research Institute (IBRI) invites students to join a summer internship focused on bioinformatics, imaging data, and computational biology. Interns will analyze high-content imaging data and develop tools to manage large datasets.

The program runs May 17, 2027 – August 6, 2027 with a 35-hour work week and a stipend of $9,650 for the full program, disbursed bi-weekly. Interns will gain hands-on experience learning from scientists and data professionals.