Senior Scientist, Translational Informatics and Predictive Sciences
Core
Lead the analysis and integration of clinical, translational, and pre-clinical data from cell therapy studies to guide the development of novel therapeutic approaches for oncology and autoimmune diseases.
Role type
Senior Scientist, Translational Informatics and Predictive Sciences
Builds
Data-driven insights for cell therapy drug development pipelines
Domain
Biopharma, Oncology, Cell Therapy, Computational Biology
Deliverable
production ML models
Required skills
High-throughput data analysis (NGS, metabolomics, flow cytometry, proteomics), R or Python programming, statistical analysis, bioinformatics, collaboration with clinical/biological teams
Preferred skills
PhD in bioinformatics/molecular biology/statistics, background in Oncology/Immunology, experience with clinical trial data, publication record
Technologies
R, Python, Next-Generation Sequencing, Mass Spectrometry, Flow Cytometry
Responsibilities
Analyze high-throughput datasets from clinical and pre-clinical experiments, develop computational analysis plans to address program questions, collaborate with cross-functional teams to design and execute studies, derive biological insights from data
Seniority
Senior, hands-on IC