Bioinformatics Internship (Undergraduate)
Biodesix, Inc.
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Patient careData analysisData visualizationStatisticsOperationsStakeholder management
- Nice to have
- SQLPostgreSQL
- Work
- On-site in Louisville · internship
- Pay
- Not stated by the employer.
- Skill demand
- Statistics55%Data analysis46%Patient care30%Data visualization28%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 2, 2026 · still open
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About the Role
As a Bioinformatics Intern, you will work alongside the Clinical Development & Data Sciences team to explore real-world biological and clinical data that supports advances in precision diagnostics. You will gain hands-on experience with bioinformatics, data analysis, and research while learning from professionals across bioinformatics, laboratory, clinical, and technology teams. Throughout the summer, you will contribute to a meaningful research project, build technical and analytical skills, and share your work through data visualizations, reports, and a final presentation.
Key Responsibilities
- Organize, clean, and curate large biological and clinical datasets.
- Perform exploratory data analysis and data quality assessments.
- Develop and maintain reproducible bioinformatics and data analysis workflows.
- Generate visualizations, summary statistics, and reports to support research objectives.
- Assist with data integration, annotation, and interpretation of molecular and clinical data.
- Document methods, results, and analytical procedures following established best practices.
- Collaborate with cross-functional teams including Bioinformatics, Clinical Development, Laboratory Operations, and Information Technology.
- Present project progress and final findings to technical and business stakeholders.
Requirements & Tech Stack
- Currently pursuing a Bachelor's degree in Biomedical Engineering, Computer Science, Biology, or a related field with an interest in bioinformatics.
- Course background in Biology, Genetics, Computer Programming, and Statistics.
- Experience with Microsoft Office applications.
- Working knowledge of R, Python, Linux, and AWS (EC2 and S3).
- Strong analytical, organizational, and problem-solving skills.
- Excellent attention to detail and communication skills.
Preferred Qualifications
- Experience with SQL or PostgreSQL.
- Exposure to a regulated laboratory or healthcare environment.
- Interest in oncology or cancer research.
- Previous experience working with biological, clinical, or research datasets.
Program Details
- Location: On-Site in Louisville, CO
- Program Dates: May 17 to August 6, 2027
- Time Commitment: 40 hours per week
- Compensation: Undergraduate Rate: $19.00 per hour
- Application Deadline: December 11, 2026