2027 R&D Cancer Diagnostics Intern
Core
Intern role supporting R&D projects in cancer diagnostics, focusing on product development, bioinformatics, and ML/AI applications to improve cancer detection and management.
Role type
R&D Intern (Cancer Diagnostics)
Builds
Diagnostic products, bioinformatics tools, and AI-driven research applications
Domain
Healthcare / Oncology Diagnostics / Biotechnology
Deliverable
production ML models
Required skills
Lab-based experimentation, computational biology, machine learning model development, statistical modeling, data analysis, algorithm design, biological sample processing, PCR/qPCR, NGS workflows, automated liquid-handling systems
Preferred skills
Protein immunoassays (ELISA, bead/microparticle formats), clinical assay platforms (Hamilton, cobas, Alinity i), large-scale biological dataset analysis
Technologies
ELISA, PCR/qPCR, NGS, Hamilton, cobas, Alinity i, Python (implied by data science/ML context), R (implied by statistical modeling)
Responsibilities
Conduct lab-based experimentation and testing, develop machine learning models for predictive analytics, perform computational biology and data analysis, support product lifecycle and scientific problem-solving
Seniority
Intern