ROLE SUMMARY

Pfizer's cross-functional 'omics ecosystem team is actively seeking a highly motivated, creative, and enthusiastic computational biology researcher with a strong background in data handling, integration and analysis, exceptional full-stack software engineering skills, and a sound understanding of drug discovery and biology. The ideal candidate will have a relevant background in the field of bioinformatics research and will play a key role in our dynamic and pioneering cross-functional team dedicated to advancing the development of a cutting-edge ‘omics ecosystem platform for Pfizer R&D. In this role, the candidate will leverage their expertise to design innovative approaches that extract valuable insights from Pfizer's proprietary data and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.

ROLE RESPONSIBILITIES

• Development and implementation of efficient and scalable analysis tooling for data stored in Pfizer’s omics data platform
• Development and establishment of innovative machine learning methods for use with internal and external omics data
• End-to-end processing, analysis and integration of internal omics datasets with a strong focus on single-cell images analysis and multimodal modeling
• Streamlining of curation and integration of relevant datasets from the public domain
• Development of analysis pipelines
• Implementation of new methods for spatial omics data analysis and visualization techniques

QUALIFICATIONS

·         Formal training in Computational Biology, Computer Science, Biology, Physics, Statistics, or a related technical discipline

·         MSc and relevant research experience in developing data products and data integration solutions aswell as a sincere interest for computational life sciences

·         In-depth knowledge in single-cell/NGS/spatial, genetics and proteomics data and analysis

·         Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion

·         Strong full-stack developer with focus on python

·         Exceptional programming skills in Python are a prerequisite. Familiarity with pertinent libraries within the Python scientific stack and a strong familiarity with scverse and LaminLabs tooling would be highly advantageous.

·         Proficiency in utilizing AI/ML libraries including PyTorch and Lightning is a plus

·         Proven expertise in software engineering, package development, maintenance and software engineering tooling

·         Hands-on experience in handling, processing, integrating, and analyzing large heterogenous data sets data

·         Passion and curiosity for data and proven ability to take ideas from prototype to production.

·         Strong interpersonal skills, distinct collaborative attitude, excellent written and verbal communication