Biotech Software Engineer Intern Jobs in Champaign, IL

As of Aug 9, 2026, the average hourly pay for biotech software engineer intern in Champaign, IL is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $28.89 per hour, depending on experience, location, and employer.

As a Biotech Software Engineer Intern, you can expect to work on projects that bridge biology and technology, such as developing or optimizing software for analyzing genomic data, automating laboratory processes, or creating visualization tools for biological datasets. Interns often collaborate closely with both software developers and life science researchers, gaining exposure to interdisciplinary teamwork. These projects are typically designed to provide hands-on experience with real-world biotech challenges, helping interns build both technical and domain-specific skills that are valuable for a future career in the field.

To thrive as a Biotech Software Engineer Intern, you generally need a background in computer science or bioinformatics, with skills in programming languages such as Python, Java, or R, and a basic understanding of biological concepts. Familiarity with bioinformatics tools, version control systems like Git, and databases such as SQL is typically required, and coursework or internships in biotech or life sciences are advantageous. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These competencies are crucial for developing reliable software solutions that support biotech research and facilitate interdisciplinary collaboration.

A Biotech Software Engineer Intern works at the intersection of biology, technology, and computer science to develop and support software tools used in biotechnology research and development. Their tasks often include writing code to analyze biological data, building applications for laboratory automation, and collaborating with scientists to solve complex problems. Interns may also help maintain databases, visualize experimental results, and contribute to the design of algorithms for genomics, drug discovery, or medical diagnostics. This role provides hands-on experience with real-world biotech projects and exposure to the latest technologies in the field.