Biomedical Research Scientist
vor 3 Wochen
Transformative Medicine Opportunities
In Roche's Pharmaceutical Research and Early Development organization, pioneering medicines are created for patients facing some of the world's most pressing unmet healthcare needs. We are seeking a talented and creative team-member to support our understanding of disease mechanisms in the Systems Biology group, part of the Cardiometabolic, Immunology, Infectious Diseases, and Ophthalmology (CMI2O) Department, located in Switzerland.
Your Key Responsibilities
- Develop and lead in silico experimental designs and operations for a data-driven research group
- Conduct rigorous advanced analytics explorations of data from strategic disease areas
- Report emergent biological insights to stakeholders through reproducible methods
- Facilitate access to enterprise data and analysis tools for non-data scientists
- Design, develop, and optimize computational analyses/algorithms for raw data from sequencing-based assays
- Pre-process raw datasets, perform high-level analysis, and visualize results for interpretation and discovery
- Collaborate with group members and internal researchers to analyze large-scale datasets
- Validate and optimize emerging computational research tools
- Support research collaborations with Roche experimental scientists
- Develop and maintain computational tools and applications
- Implement standardized workflows and pipelines
- Manage data, ensure consistent reporting, and provide democratized access to data and analytics
Requirements
- PhD in a relevant field
- Minimum 5 years of postdoctoral experience, including industry settings
- Ability to transition across scientific domains, diseases, and biological scales with creativity
- Programming skills in R and/or Python, with Linux/Unix experience and HPC cluster data processing knowledge
- Experience working with experimental scientists and managing multiple concurrent projects
- Strong statistical, reporting, and data visualization skills
- Genetics foundation, including experience with Mendelian Randomisation, GWAS, and integrative analysis
- Expertise in graph theory, network-based approaches, and multimodal data integration and visualization
- Algorithm development, data mining, and statistical analysis of large datasets
- Fluent English
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