Senior Scientist, Bioinformatics

Strong proficiency in R/Python for data analysis, statistical modeling, and visualization.

Experience working in Linux/Unix computing environments.

Solid foundation in statistics and their application to biological and clinical datasets.

Demonstrated ability to independently execute analyses with attention to rigor, reproducibility, and detail.

Knowledge of immunology and/or cancer biology or related fields.

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Perform end-to-end analysis of translational and clinical biomarker data, including data preparation, quality control, statistical analysis, and biological interpretation.

Analyze high-dimensional clinical trial datasets (e.g., bulk/single cell/spacial RNA-seq, protein biomarker platforms such as MSD or Olink, and other translational assays).

Apply appropriate statistical methods with careful consideration of study design, analytical assumptions, and clinical relevance.

Execute reproducible, well-documented analytical workflows to ensure data quality, traceability, and analytical rigor.

Collaborate closely with translational scientists and cross-functional partners to interpret results in biological and clinical context.