Computational Biologist

Formal training in Computational Biology, Computer Science, Biology, Physics, Statistics, or a related technical discipline
PhD and relevant research experience in developing data products and data integration solutions as well as a sincere interest for computational life sciences
In-depth knowledge in either single-cell/NGS, functional genomics, genetics or proteomics data and analysis
Strong full-stack developer with focus on python, in-depth database expertise with a focus on postgres, ETL frameworks
Exceptional programming skills in Python are a prerequisite
Familiarity with pertinent libraries within the Python scientific stack would be highly advantageous
Nextflow pipeline development
Hands-on experience in handling, processing, integrating, and analyzing large heterogenous data sets data in a drug discovery research environment
Strong publication record and demonstrated contributions to the field
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

Development and implementation of an omics data platform to enable efficient and scalable analysis of omics data
Development of innovative machine learning methods for omics data together with the machine learning team
Processing, analysis and integration of internal omics datasets
Curation and integration of relevant datasets from the public domain
Development of analysis pipelines
Development of a data dissemination concept for omics data
Implementation of new methods for omics data analysis and visualization techniques
Drive collaborations with external companies
Develop Pfizer omics data strategy together with other functions from the research units
Onboarding of computational biology community members to data platform and organization of workshops, hackathons, trainings and scientific talks
Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

Proficiency in front-end technologies such as typescript, reactjs and browser-based visualization techniques is a plus
Proficiency in utilizing AI/ML libraries including PyTorch and Lightning is a plus
Experience with LLMs/RAG systems is a plus
Proven expertise in software engineering, package development, cloud architectures, CI/CD and software engineering tooling