Computational Biologist Spatial Multi-Omics

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were 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 youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

Computational Biologist - Spatial Multi-Omics

Bayer has an opening for a Computational Biologist Spatial Multi-Omics to join our Translational Sciences Cardiovascular Renal Team based at the Bayer Innovation Campus in the heart of Kendall Sq Cambridge MA.

We are seeking a highly skilled Bioinformatics Scientist to join our team focusing on the development and maintenance of scalable pipelines for spatial and deep visual multi-omics analysis. The successful candidate will play a crucial role in integrating various omics data types to drive insights for target discovery biomarker development and mechanism-of-action studies.

YOUR TASKS AND RESPONSBILITIES

The primary responsibilities of the Computational Biologist Spatial Multi-Omics are to:

• Build and maintain scalable pipelines for spatial and deep visual multi-omics analysis including data ingestion QC normalization batch correction feature extraction and annotation from mass-spectrometry and transcriptomics platforms.
• Integrate spatial metabolomics/proteomics with transcriptomics genomics and histopathology images to deliver multi-modal insights for target discovery biomarker development and mechanism-of-action studies.
• Evaluate benchmark and optimize tools and workflows; contribute to internal software (R/Python) and visualization frameworks to streamline spatial omics analytics.
• Perform spatially aware statistical analyses to identify regulated molecular markers across tissue regions cell types and phenotypes
• Develop and apply algorithms for spatial segmentation clustering co-localization neighborhood analysis and spatial correlation; conduct pathway/network analyses.
• Collaborate with experimental biologists pathologists chemists and clinicians to shape hypotheses design studies and translate findings into decisions for research programs.
• Document pipelines and analyses to ensure reproducibility compliance and knowledge transfer; prepare clear visualizations and narratives for internal reviews publications and external collaborations.
• Partner with data engineering/IT to manage large spatial datasets define metadata standards and implement versioning governance and access control best practices.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required qualifications:

• PhD in Computational Biology Bioinformatics Systems Biology Biostatistics Computer Science or related field; or MSc with substantial relevant experience.
• Hands-on experience analyzing mass spectrometry and transcriptomics spatial data including QC normalization feature extraction and statistical interpretation.
• Background in image analysis and spatial statistics (segmentation registration spatial point patterns neighborhood analysis). Exposure to machine learning or deep learning for omics or imaging data.
• Familiarity with MS and spatial tools like MZmine MaxQuant Proteome Discoverer Skyline OpenMS etc.; and spatial frameworks like Squidpy Giotto Seurat/Spatial Napari ImageJ/Fiji CellProfiler etc.
• Experience with pathway/network analysis (e.g. KEGG Reactome MetaboAnalyst Cytoscape).
• Proficiency in Python and/or R; comfort with Linux/Unix environments high-performance computing and version control (Git).
• Demonstrated ability in high-dimensional data analysis statistics and reproducible pipeline development.
• Solid understanding of molecular biology biochemistry and metabolism to interpret results and design analyses.
• Strong communication skills; experience collaborating within interdisciplinary teams and presenting complex results to diverse audiences

Employees can expect to be paid a salary between $106400.00 - $159600.00. 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 applicants location market data/ranges an applicants skills and prior relevant experience certain degrees and certifications and other relevant factors.

This posting will be available for application until at least 08/17/2026