Principal Bioinformatician

Key Responsibilities

• Translational Biomarker Analysis with multi-modality and multi-omics assays such as Bulk and Single cell RNA-seq, TCR/BCR-seq, WGS/WES, Amplicon-seq, ATAC-seq, ctDNA/liquid biopsy, Proteomics and cytokine profiling, spatial and multiplex imaging, Flow cytometry/CyTOF.
• Support translational biomarker discovery and validation including identification of pharmacodynamic (PD), predictive, prognostic, and response biomarkers; integrated analyses correlating biomarker data with: Clinical outcomes, PK/PD measurements, Safety for Patient stratification and Mechanism-of-action hypotheses.
• Build and maintain reproducible and scalable bioinformatics pipelines using cloud or high-performance computing environments.
• Contribute to translational data infrastructure and data governance strategies.
• Ensure analysis reproducibility, traceability, and documentation compliance.
• Partner closely with Translational scientists, Clinical Development, Research and CMC teams, CROs and collaborators to help translate complex computational findings into biologically meaningful insights.
• Contribute to regulatory documentation required biomarker sections of INDs, IBs, Clinical study reports and Regulatory briefing documents.

Requirements

• PhD (5+ years) or MS (8+ years) in Bioinformatics, Computational Biology, Genomics, Systems Biology and related quantitative biological sciences.
• Strong expertise in bioinformatics, statistics with some biological training background, with experience in translational research in oncology, immunology or autoimmune disease.
• Gene and cell therapy involvement is a plus.
• Strong experience with: R and/or Python programming, Linux/Unix computing environments, Workflow management systems (e.g., Snakemake, Nextflow, WDL) with Cloud platforms (AWS, GCP, Azure) preferred.

Pay

Pay Range (Base Pay): $146,410 USD - $192,164 USD