Development, support and implementation of a modern data platform to enable efficient and scalable correlation and analysis of data for biological drug modalities
Development of innovative data products and machine learning methods for biologics data together with machine learning experts within Pfizer
Processing, analysis and integration of internal in vivo pharmacodynamics and toxicology data sets
Curation and integration of relevant datasets from the public domain
Development of analysis pipelines
Development and roll out of data products to meet specific needs through data integration
Implementation, testing and validation of new methods for data analysis and visualization techniques
Drive collaborations with external companies and academic institutions
Develop Pfizer biologics data capture, metadata tagging and storage strategy along with Pfizer’s Digital organization
Onboarding of Pfizer colleagues to the 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

PhD in Biology, Chemistry, Physics, Statistics or a related technical discipline OR Master’s degree and 2+ years of experience building AI powered research applications
Strong background in data handling, integration and analysis
Thorough understanding of drug discovery and biology with a particular focus on large molecule therapeutics such as peptides, siRNA, antisense, mRNA and antibodies
Research experience developing data products and data integration solutions as well as a sincere interest for computational life sciences
Experience solving complex analyses/problems in a timely fashion
Exceptional programming skills in Python
Strong experience as a full-stack developer with focus on python, in-depth database expertise with a focus on postgres, ETL frameworks

401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage

AI Data Engineer – Peptides and Biologics

Key skills