Roche is seeking a Computational Statistician in Oncology to join their Translational Oncology sub-unit within the Computational Biology department. The ideal candidate will possess a PhD in a quantitative field, experience with high-dimensional molecular datasets, and strong skills in statistical methods, predictive modeling, and machine learning
Job Summary
The role involves executing data and analytics strategies to develop a competitive advantage for Roche's Pharma Research and Early Development organization.
Candidates will collaborate with world-leading computational scientists to apply computational biology specifically within the Oncology space.
The position requires fostering a culture of continuous improvement, challenger safety, and inclusive teamwork to deliver high-value insights for patients.
Matching Summary
Match Score: 85
Roche is seeking a Computational Statistician in Oncology to join their Translational Oncology sub-unit within the Computational Biology department. The ideal candidate will possess a PhD in a quantitative field, experience with high-dimensional molecular datasets, and strong skills in statistical methods, predictive modeling, and machine learning.
Skills & Requirements
Must-have
PhD in Biostatistics or Bioinformatics
Proficiency in R and Python programming
Experience with high-dimensional molecular data
Knowledge of Linux/Unix and HPC environments
Strong understanding of disease biology
Nice-to-have
Prior pharmaceutical industry experience
Familiarity with CDISC clinical data standards
Matrix leadership capabilities
Expertise in population statistical genetics
Integrative multi-omics data analysis skills
Key Requirements
PhD in Biostatistics, Bioinformatics, or related quantitative field
Proven experience with genomics and transcriptomics datasets
Demonstrable technical expertise in AI/ML applications
Ability to lead multidisciplinary teams without formal authority
Strong foundational understanding of Oncology disease biology