Computational Biologist
vor 11 Stunden
**Computational Biologist (all genders)**
**JOB PURPOSE**
Join passionate colleagues in Bayer's Research & Early Development Oncology who are inventing the next wave of cancer medicines As part of oursubstantial build up of Bayer's oncology research presence in Basel, we are seeking a Computational Biologist to harness the power of multi-omicsdata.Your role will be to synthesize biological insights that guide therapeutic hypotheses and stage-gate decisions for the oncology portfolio.This is youropportunity to help shape our next corporate cluture of Dynamic Shared Ownership in empowered global teams.
**YOUR TASKS & RESPONSIBILITIES**
- Evaluate and contextualize the molecular evidence supporting a therapeutic hypothesis with relevant internal and external multi-omics data (DNA, RNA,CRISPR, ChIP-seq, methylation, and proteomics)
- Design, execute, and interpret complex quantitative analyses to address precision drug development criteria. Examples of precision drug developmentcriteria include RAISE dimensions, translational science strategy, proof-of-mechanism, and lifecycle management
- Contribute to Product Team scientific strategy and prosecution of critical path objectives, such as the identification of novel targets, biomarkers, orpatient selection hypotheses. These contributions use state-of-the art computational biologymethods to analyze large and complex data sets
- Educate Product Teams on innovations in disease understanding, especially molecular mechanisms of tumor vulnerabilities that may represent unmetmedical need
- Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and datascience communities of experts
**WHO YOU ARE**
- Bachelors degree with 8+ years of post-graduation experience or Masters degree with 5+ years of post-graduation experience or PhD degree with 3+years of post-graduation experience in Sciences (Bioinformatics, Computational Biology, Biology, Chemistry, Genetics, Computer Science, Informatics,or other related quantitative discipline) with very strong computational focus
- Demonstrated experience in statistical analysis of DNA-seq, RNA- seq, proteomics, single-cell, or imaging datasets withproficiency in a programmingenvironment (such as R or Python)
- Demonstrated peer-reviewed publications in computational biology
- Expert level of proficiency to choose fit-for-purpose quantitative analyses
- Strong analytical thinkingand scientific rigor
- Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable mannerto broad audiences and key stakeholders across multiple functions or to external partners
- Learning agility, highly self-motivated, with an aspiration of continuous improvement of oneself and others
- Fluent in English is a must, any other languages is a plus
**YOUR APPLICATION**
**Location**:
Switzerland : Basel-City : Basel
**Division**:
Pharmaceuticals
**Reference Code**:
839371
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