Summer 2026 - Solid Tumors Translational Medicine Internship

Role Summary

The Hematology Translational Medicine group seeks a talented and highly motivated student for a summer internship offering hands-on translational research in a team-oriented, fast-paced environment. The student will work on a translational project to understand how biomarkers from prostate cancer clinical trials inform mechanisms of action, resistance, biology of disease, and clinical development. The 10-week internship emphasizes biomarker analysis, critical thinking, and presenting findings; the candidate should be a self-starter with enthusiasm for complex data and learning how biomarkers inform clinical development. The internship runs June–August 2026.

Responsibilities

• Integrate multimodal prostate cancer data (circulating tumor DNA, RNA expression analysis, epigenetic, clinical outcomes) to generate insights for drug development.
• Contribute to experimental design and execution of a translational project aligned with Solid Tumor Translational Medicine.
• Participate in internship requirements and complete literature/data reviews to understand project context and impact.
• Communicate data findings in a timely manner.
• Present the internship project to the Translational Medicine group at the conclusion of the internship.

Qualifications

• Current student majoring in a field related to biomedical sciences (cellular and molecular biology, oncology, computational biology).
• Expertise in prostate cancer biology, mechanisms of resistance to current standard therapies, and drivers of lineage specificity.
• Computational biology background/experience or degree preferred.
• Available full-time (40 hrs/week) throughout the internship (early June through mid-August).
• Interpersonal and collaboration skills, ability to work independently, and flexibility with changing priorities.
• Prior experience in modeling data integration (e.g., bulk RNA-seq, ctDNA) preferred.
• Authorized to work in the US for the duration of the internship; visa sponsorship not available.

Skills

• Data analysis and interpretation of complex biomedical data.
• Literature and data review to understand project context and impact.
• Communication and presentation of project findings.

Education

• No specific degree required beyond current enrollment; relevant fields as listed in Qualifications.

Additional Requirements

• Temporary, time-bound internship for the duration of the program; no guarantee of ongoing employment.