Intern - Research - Oncology Biomarker - AI
Core
Apply AI/machine learning to large-scale clinical biomarker datasets to identify multi-omic signatures associated with treatment response and resistance in oncology.
Role type
Research intern (AI/ML applied to biomarker science)
Builds
Reproducible analysis pipelines and data visualizations for oncology drug development
Domain
Oncology / Biotechnology / AI
Deliverable
production ML models
Required skills
Machine learning, Python, statistical modeling, data analysis, data visualization, scientific communication
Preferred skills
Generative AI tools, R, computational coding, problem-solving, cross-functional collaboration
Technologies
Python, R, Microsoft Office
Responsibilities
Analyze multi-modal data from translational biomarker projects, apply ML approaches to identify signatures, build reproducible analysis pipelines, validate model performance, interpret biological features driving predictions, contribute to biomarker research, participate in strategy discussions, develop data visualizations, present project results
Seniority
Intern
