Senior Scientist, Computational Biology- Oncology Translational Research

Role: Senior Scientist, Computational Biology in Oncology Translational Research, focused on analyzing and integrating complex multimodal omics, biomarker, and clinical data to support oncology drug development. Responsibilities: independently analyze DNA/RNA sequencing, proteomics, single-cell, and spatial transcriptomics data; identify and validate pharmacodynamic, prognostic, predictive, and resistance biomarkers; leverage AI, statistical, and machine learning approaches; collaborate with cross-functional teams, communicate findings, and contribute to publications. Requirements: PhD in Bioinformatics, Computational Biology, or related field; 1-3 years industry experience; proficiency in R, Python, Unix; strong oncology translational knowledge; expertise in statistical and machine learning methods; peer-reviewed publications. Preferred: familiarity with regulatory data standards (CDISC SDTM/ADaM), deep learning, biomarker data traceability, and experience with clinical trial phases 1-3, including biomarker-driven patient selection. High-Value: oncology, multimodal omics, biomarker discovery, clinical trial support, AI-enabled bioinformatics, biomarker validation, translational research. Work setup: multiple US locations; specifics on remote or travel not provided.