Summer 2026 - Computational Biology Internship

Role Summary

Summer 2026 - Computational Biology Internship: A 10-week summer internship for Masters or PhD students to apply computational methods to enable precision medicine, with a focus on multi-omics and perturbational data to inform next-generation therapeutic strategies.

Responsibilities

• Analyze internal and public multi-omics/perturbation datasets to uncover biomarker and pathway signatures relevant to mechanism and response.
• Build reproducible R/Python pipelines; implement and benchmark published methods where appropriate.
• Integrate orthogonal evidence (e.g., network/pathway context, sequence/structure features, prior knowledge graphs) to increase confidence in findings.
• Develop simple prioritization/scorecards to nominate hypotheses (e.g., candidate combinations or multi-target strategies).
• Communicate results via clear figures, notebooks, and brief readouts to cross-functional partners.

Qualifications

• Master's or PhD level student with experience in programming with Python or R as well as common statistical modelling / machine learning frameworks in the corresponding language.
• Familiarity with networks analysis / systems biology methods as applied to multi-omics data (e.g., transcriptomics / proteomics).
• Currently enrolled in a MS/PhD program in computer science, bioinformatics, statistics, physics, or a similar field.
• Must be able to work full-time for the program duration.
• Excellent verbal and communication skills.
• 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.

Education

• MS/PhD program in computer science, bioinformatics, statistics, physics, or a related field.