Computational Clinical Scientist II, Clinical Bioinformatics

Role

Computational Clinical Scientist specializing in biomarker analysis within the Translational Medicine team, focusing on molecular and clinical data integration to identify predictive biomarkers for RAS-addicted cancers.
Responsibilities

analyze genomic, proteomic, and assay data—including circulating tumor DNA, RNA/DNA sequencing, and immunohistochemistry to validate biomarkers; collaborate with internal teams, CROs, and partners; support biomarker-driven trial design and regulatory documents; interpret data to elucidate mechanisms of action and patient selection strategies.
Requirements

MS or Ph.D. in bioinformatics, biology, or data science; at least 2 years of biotech/pharma experience in oncology-focused bioinformatics; proficiency in R and/or Python; solid understanding of statistical models, clinical outcome data, and cancer genomics tools (e.g., GATK, Salmon, VEP); experience with survival analysis, causal inference, and visualization techniques.
Preferred

familiarity with large genomic datasets (GDC, TCGA), software development practices, cloud computing, and additional cancer genomics tools.
High Value

oncology, RAS pathway, biomarker validation, clinical trial data analysis, molecular profiling.
Work Setup

unspecified; likely collaborative environment given cross-functional interaction.