Join Pfizer as a Computational Biologist!
Pfizer is seeking a Computational Biologist (m/f/d) to join its innovative cross-functional omics ecosystem team in Berlin, Germany. This is a full-time role. The Computational Biology Jobs at Pfizer offer an exciting opportunity to work at the intersection of bioinformatics, machine learning, and drug discovery, contributing to the development of a cutting-edge omics data platform that supports Pfizer’s global R&D efforts.
About the Company:
Pfizer is a global biopharmaceutical leader committed to delivering breakthroughs that change patients’ lives. Through advanced research, cutting-edge technologies, and collaborative science, Pfizer develops innovative therapies across a wide range of therapeutic areas, leveraging data-driven discovery and translational science to accelerate drug development worldwide.
Job Details:
- Job Title: Computational Biologist (m/f/d)
- Location: Berlin, Germany
- Job Requisition ID: 4950359
- Employment Type: Full Time
- Department: Omics Ecosystem / Research & Development
Educational Requirements for the Computational Biologist Role:
- Formal training in one of the following disciplines: Computational Biology, Biology, or a related technical field
- Master’s degree (MSc) with relevant research experience in computational life sciences
Key Responsibilities:
- In the Computational Biologist Role, you should develop and implement efficient, scalable analysis tools for Pfizer’s omics data platform
- Design and apply innovative machine learning methods to internal and external omics datasets
- Perform end-to-end processing, integration, and analysis of large-scale omics data in the Computational Biology Jobs at Pfizer.
- Focus on single-cell imaging analysis and multimodal data modeling
- Develop and maintain robust analysis pipelines
- Streamline curation and integration of public domain datasets
- Implement novel methods for spatial omics data analysis and visualization
- Translate complex biological data into actionable insights and testable hypotheses across the drug discovery pipeline in this Computational Biologist Role.
Skills Required:
- Strong expertise in Python programming and full-stack software development
- In-depth knowledge of single-cell, NGS, spatial omics, genetics, and proteomics data analysis
- Experience with Python scientific libraries; familiarity with scverse and LaminLabs tools preferred
- Knowledge of AI/ML frameworks such as PyTorch and Lightning (advantageous)
- Proven experience in software engineering, package development, and maintenance
- Ability to handle, integrate, and analyze large, heterogeneous datasets
- Strong problem-solving, analytical, and critical-thinking skills
- Excellent written and verbal communication skills with a collaborative mindset
Benefits of the Computational Biologist Role:
- Opportunity to work on cutting-edge omics and data science platforms in global R&D
- Collaborative, cross-functional research environment
- Career growth within a world-leading biopharmaceutical company
- Inclusive and equal-opportunity workplace
- Supportive culture focused on innovation, learning, and impact on patient lives
