Summer 2026 - Oncology Translational Bioinformatics Internship

Role Summary

Summer 2026 - Oncology Translational Bioinformatics Internship. This internship offers a unique opportunity to contribute to cutting-edge translational bioinformatics research within oncology R&D. The successful candidate will collaborate with an interdisciplinary team of computational and biological scientists, develop advanced skills in transcriptomic and alternative splicing analytics, strengthen proficiency in programming within reproducible environments, and gain hands-on experience tackling real-world oncology challenges in an industry setting. The internship aims to demonstrate how rigorous data analysis translates into patient benefit—informing biomarkers, supporting trial decisions, and advancing precision oncology therapies. The full-time internship will take place June - August 2026.

Responsibilities

• Conduct literature reviews to select 2-3 state-of-the-art alternative splicing methods for deep evaluation.
• Assemble transcriptomic datasets from public and internal resources and implement end-to-end pipelines to run the selected tools.
• Benchmark and compare method performance with objective metrics and propose targeted improvements.
• Develop effective means of visualization to summarize and communicate findings and key messages to cross-functional teams and support decision-making.
• Ensure full reproducibility by maintaining version-controlled repositories, containerized environments, and well-annotated documentation that enable exact reruns by others.

Qualifications

• Currently enrolled in a MS/PhD program in bioinformatics, computational biology, computer science, statistics, biostatistics, statistical genetics, or a similar quantitative field.
• Highly skilled in one or more scripting languages such as R (preferred) or Python.
• Experience working with and manipulating large NGS datasets is preferred.
• Familiar with HPC computational environment and reproducible coding practice (e.g., Git/GitHub; container/workflows a plus).
• Excellent communication and presentation skills.
• Must be able to work full-time for the program duration.
• All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment. Immigration or visa sponsorship is not available for this position.

Skills

• Transcriptomic analysis
• Alternative splicing analytics
• Data visualization
• Version control and reproducible research