Computational Biologist - Multi-Omics (all genders) (Berlin, Berlin, DE) na Bayer Global - Home | Bayer Global

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 - Multi-Omics (all genders) 

We are looking a highly creative and motivated Computational Biologist - Multi-Omics (all genders), to join Bayer's Chemical Biology, Imaging and Omics (CBIO) sub-cluster within Drug Discovery Sciences in Berlin or Wuppertal. At CBIO, you will be part of an interdisciplinary team of scientists within the R&D organization, supporting projects across the R&D portfolio and contributing to excellence in early drug discovery. You will leverage your expertise in Computational Biology and state-of-the-art data analysis skills to design and interpret Multi-omics experiments, addressing drug discovery challenges from target identification to drug development. 

YOUR TASKS AND RESPONSIBILITIES

• You drive pivotal scientific questions in drug discovery projects, providing critical insights for go/no-go decisions and advancing your understanding of targets and modalities
• You design and execute integration of multi-omics data, analyzing single or multiple omics layers to generate novel insights into disease, target, and compound biology
• You develop and implement cutting-edge computational tools and pipelines for complex multi-omics data analysis
• You actively participate in drug discovery project teams, contributing to target identification and validation, modality discovery, and mode-of-action deconvolution
• You transform multi-parametric data into testable hypotheses through collaboration with wet lab scientists and data scientists
• You scout and evaluate innovative approaches through partnerships with CROs, biotech, and academia
• You contribute to scientific publications and present at conferences to enhance our research visibility and demonstrate scientific excellence

WHO YOU ARE

• You have a Ph.D. in Computational Biology, Systems Biology, Chemical Biology, Biology, or related Life Sciences with demonstrated expertise in Computational Biology
• You bring several years of postdoctoral experience or relevant industry experience
• You have extensive hands-on experience in multi-omics data analysis, particularly in Proteomics and Transcriptomics
• You have demonstrated success in designing and interpreting complex biological experiments
• You are capable of extracting meaningful biological insights from quantitative datasets
• You have a strong understanding of experimental workflows and the ability to collaborate with wet-lab colleagues
• You are an expert in programming languages (Python or R) and statistical methods relevant to Computational Biology
• You have outstanding interpersonal and communication skills with demonstrated ability to work effectively in cross-disciplinary teams
• You are fluent in English, both written and spoken

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

Location:           ​​ ​   Berlin, Wuppertal​

​​Division: ​               Pharmaceuticals​

Reference Code:  849116​