Senior Scientist, Neuroscience, Immunology, and CV; NIC Translational Informatics and Predicti

Key Responsibilities

• Analyze high-dimensional datasets from late-stage clinical trials and multi-modal real-world datasets (commercial partners, consortiums, public resources).
• Work with clinical data (ADaM/SDTM), high-throughput proteomics (e.g., Olink), RNA-Seq, epigenetics, and multiplex flow cytometry.
• Perform deep analyses to understand disease mechanisms/patient heterogeneity; identify non-responders; generate hypotheses for drug differentiation, combination strategies, and new indications.
• Optimize reverse translation by applying late-stage clinical data to inform early-stage trials and the discovery pipeline (with cross-functional R&D teams).
• Communicate findings (1:1, seminars, team meetings); participate in authorship and present to publishable standards.

• Bachelor’s + 6+ years experience, or Master’s + 4+ years experience, or PhD + 2+ years experience in computational biology or related field.

• PhD in a quantitative field (computational biology or related).
• Experience with interventional trial clinical data integration (ADaM/SDTM), biomarkers, longitudinal assessments; predictive/prognostic/surrogate biomarker identification.
• Experience integrating multi-omics and single-cell/spatial datasets.
• Advanced hands-on R or Python for computational/reproducible research.
• Experience with AI-assisted coding tools and applying AI/ML to translational problems.
• Strong oral/written communication; publications/track record.

• Cambridge Crossing: $148,210–$179,601;
  Princeton/NJ: $128,890–$156,179.
• Benefits include health coverage, wellbeing support, 401(k), disability/life/insurance, and paid time off.