Scientist II, Biomarker Sciences​/Translation Sciences

Role

Scientist II, Biomarker Sciences/Translational Sciences, supporting computational analysis of preclinical and clinical datasets to identify biomarkers, mechanisms of response/resistance, and pharmacodynamics in oncology.
Responsibilities
• analyze multi-omics data including bulk and single-cell sequencing
• develop scalable workflows
• collaborate across Translational Research, Biomarker, Bioinformatics, and Data Science teams
• translate findings into actionable hypotheses and biomarker assays
Requirements
• PhD in Cancer Biology, Molecular Oncology, or related field
• 3+ years postdoctoral/industry experience
• expertise in analyzing complex omics datasets, cancer genomics, and translational biology
• proficiency in R/Python, statistical analysis, and bioinformatics tools
• experience with machine learning and AI approaches.
Preferred
• background in oncology drug discovery/development
• experience with longitudinal datasets
• integration of multi-modal data
• cloud-based analytics environments
• knowledge of RAS-driven cancers is a plus.

High Value: oncology, biomarker discovery, translational research, omics analysis, AI/ML applications, broad cross-functional collaboration, and data integration for biomarker development.

Work Setup: not specified but implies a research setting.