Senior Scientist, Translational Safety & Computational Biology (CAR-T Cell Therapy)

We are seeking a Senior Scientist to join a Cell Therapy Translational Research team, supporting biomarker-driven analyses and translational safety efforts for CAR-T programs, including cilta-cel (CARVYKTI®).This role sits at the intersection of computational biology, clinical research, and safety science, with a focus on understanding mechanisms underlying immune-mediated toxicities and advancing clinical insights through data.

Key Responsibilities

• Conduct biomarker and correlative analyses across CAR-T clinical trial datasets
• Analyze high-dimensional datasets, including genomic, transcriptomic, proteomic, and flow cytometry data
• Support investigations into safety-related events, including neurotoxicity, colitis, HLH, and other immune-mediated toxicities
• Contribute to safety signal evaluation and mechanism-of-action understanding
• Integrate clinical and biomarker data to generate actionable insights
• Collaborate cross-functionally with Translational Research, Clinical Science, Safety, Biomarkers, and Bioinformatics teams
• Prepare analyses, visualizations, and summaries for internal discussions and regulatory documentation
• Ensure data quality, scientific rigor, and clear documentation of all analyses

Qualifications

Education

• MSc or PhD in Computational Biology, Data Science, Immunology, Oncology, Molecular Biology, or a related field

Experience

• Approximately 5+ years of experience in translational research, computational biology, or clinical data science
• Demonstrated expertise in biomarker analysis and correlative science within clinical or translational research
• Experience working with clinical trial data and associated metadata
• Oncology experience required; CAR-T or cell therapy experience strongly preferred

Technical Skills

• Proficiency in R for data analysis
• Experience analyzing high-throughput and multi-omic datasets
• Familiarity with flow cytometry data analysis
• Strong statistical foundation applied to biological and clinical data

Core Competencies

• Strong analytical and problem-solving skills
• Ability to synthesize complex datasets into clear, actionable insights
• Effective communication skills across technical and non-technical stakeholders
• Ability to work independently and within cross-functional, matrixed teams

Additional Information

• Industry experience preferred; candidates with strong academic experience will also be considered
• Laboratory experience is beneficial but not required, as this role is data-focused