Computational Biologist

**At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.**

**Computational Biologist (M/F/d)**

**JOB PURPOSE**

Join passionate colleagues in Bayer's Research & Early Development Oncology who are inventing the next wave of cancer medicines As part of our substantial build up of Bayer's oncology research presence in Basel, we are seeking a Computational Biologist to harness the power of multi-omics data. Your role will be to synthesize biological insights that guide therapeutic hypotheses and stage-gate decisions for the oncology portfolio. This is your opportunity 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 development criteria 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, or patient 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 unmet medical need
- Build cross-functional relationships to collaboratively partner across Pharma R&D and effectively network within disease understanding and data science 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 programming environment (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 manner to 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**:
818525