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Associate Principal Scientist: Drug Discovery - Computational Biologist Multi-Omics 

We are looking for a highly creative and motivated Computational Biologist for Multi-omics analysis to join Bayer's Chemical Biology, Imaging and Omics (CBIO) sub-cluster within Drug Discovery Sciences in the Bayer Research and Innovation Center (BRIC) in Cambridge (MA). 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

The primary responsibilities of the Associate Principal Scientist: Drug Discovery - Computational Biologist Multi-Omics are to:

• Drive pivotal scientific questions in drug discovery projects as a purpose-driven drug hunter, providing critical insights for go/no-go decisions and advancing our understanding of targets and modalities
• Design and execute integration of multi-omics data (Chemo-proteomics, Transcriptomics), analyzing single or multiple omics layers to generate novel insights into disease, target, and compound biology
• Develop and implement cutting-edge computational tools and pipelines for complex multi-omics data analysis
• Actively participate in drug discovery project teams, contributing to target identification and validation, modality discovery, and mode-of-action deconvolution
• Transform multi-parametric data into testable hypotheses through iterative collaboration with wet lab scientists and data scientists
• Champion AI-enabled drug discovery and actively contribute to AI-driven projects
• Scout and evaluate innovative approaches through partnerships with CROs, biotech, and academia
• Contribute to scientific publications and present at conferences to enhance our research visibility and demonstrate scientific excellence

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required qualifications:

• Ph.D. in Computational Biology, Systems Biology, Chemical Biology, Biology, or related Life Sciences with demonstrated expertise in Computational Biology and strong understanding of Biology and Experimental Biology
• Extensive hands-on experience in multi-omics data analysis (Transcriptomics, Proteomics, ATAC-seq, Ribo-seq, etc.). Application of these methods to the study of compound biology / chemical biology is a plus
• Demonstrated success in designing and interpreting complex biological experiments, particularly in Chem-Omics
• Proven ability to extract meaningful biological insights from quantitative datasets through deep understanding of chemical biology, cell biology, and disease biology
• Track record of successfully integrating multiple omics datasets to generate novel insights
• Strong understanding of experimental workflows and ability to collaborate with wet-lab colleagues for optimization and troubleshooting
• Expert knowledge of programming languages (Python or R) and statistical methods relevant to Computational Biology
• Experience in Chemo-informatics or Chemo-genomics is highly desirable
• Knowledge of spatial omics analysis is advantageous
• Outstanding interpersonal and communication skills with demonstrated ability to work effectively in cross-disciplinary teams

Preferred qualifications:

• 4+  years of postdoctoral experience or relevant industry experience

Employees can expect to be paid a salary between $124,960.00 - $187440.00.  Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 06/09/2026.