Computational Chemical 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 Chemical Biologist (all genders)**

We are looking for a highly creative and motivated **Computational Chemical Biologist (all genders)** to join Bayer’s Chemical Biology, Imaging and Omics (CBIO) sub-cluster within Drug Discovery Sciences in Berlin or Wuppertal, Germany. At CBIO, you are part of an interdisciplinary team of scientists within the R&D organization and you support projects across the R&D portfolio and contribute to excellence in early drug discovery. You provide your expertise in Biology and Chemical Biology together with your state-of-the-art Computational Biology and data analysis skillset to design and interpret High Content Imaging and Chem-Omics experiments to address drug discovery challenges ranging from target and modality identification to drug development.

**YOUR TASKS AND RESPONSIBILITIES**
- Focus on pivotal scientific questions in drug discovery projects as a purpose-driven drug hunter, whose contributions will provide insights and data critical to making go/no-go decisions, advancing our understanding of targets and modalities
- Collaborate closely with drug discovery project teams and contribute to target identification and validation, modality discovery, and the characterization of modality modes-of-action as well as translating multi-parametric data into testable hypotheses
- Integrate Imaging and Multi-Omics Datasets and facilitate the integration and contextualization of imaging and multi-omics datasets, aiming to gain novel insights and establish biological connections to modalities
- Collaborate across disciplines as part of an international and interdisciplinary research team and work iteratively with wet lab scientists and data scientists to develop strategies and methods for identifying relevant chemical and biological features within PhenOmics datasets
- Scout and assess innovation in partnership with CROs, biotech, and academia to harness valuable external insights
- Engagement with the scientific community, including publishing research, in order to strengthen the visibility of our research and demonstrate scientific excellence

**WHO YOU ARE**

We are excited about your talent and passion for this position. Attracting the right talent is important to us. We would be happy to work with you to
identify and create the career and development opportunities you are looking for. And if you don't meet all the requirements, we still look forward to
- PhD in Computational Biology or Systems Biology with a strong background in experimental Chemical Biology or Biology, or a PhD
in Chemical Biology, Biology, or related Life Sciences with a solid foundation in Computational Biology
- 2-4 years of postdoctoral experience or relevant industry experience:

- Experience with data analysis for High Content Imaging or Proteomics datasets is required, along with a commitment to furthering your expertise in PhenOmics analyses
- Proven track record in designing, integrating, and interpreting complex biological experiments, such as those involving Quantitative Microscopy (High Content Imaging and Cell Painting) and Chem-Omics (Chemo-/Proteomics, Transcriptomics)
- Experience and expertise in Chemo-informatics or Chemo-genomics is a strong advantage, whereas hands-on wet lab experience with one or more of the experimental technologies (imaging assays or proteomics) is also a plus
- Proven ability to generate novel biological insights on targets and modalities from quantitative biological datasets using your deep understanding of chemical biology, cell biology, disease biology, and gene regulatory networks
- Proficiency in programming languages (such as Python or R) as well as understanding of statistical principles, methods and tools relevant to Computational Biology is required
- Strong interpersonal and communication skills, thrive in cross-disciplinary teams, and are adept at collaborating with scientists from diverse backgrounds to reach joint goals
- Excellent command of English, both spoken and written, is essential

**WHAT WE OFFER**

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because**:What matters to you, matters to us**
- We ensure your **financial stability** through a competitive compensation package, consisting of an attractive base pay, our performance based company bonus and a global, equity-based cash plan with a four-year durati