Pfizer’s Machine Learning Hub is seeking a passionate, creative, and experienced machine learning researcher to design and implement new machine learning tools to accelerate drug discovery. As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer’s proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge. The individual will also design, establish, and manage internal and external collaborations to advance Pfizer’s ML capabilities. The ideal candidate should have an outstanding scientific reputation in the field of machine learning research
Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline
PhD and 2+ years of relevant research experience in developing machine/deep learning-based solutions for biological problems
Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.)
Proven expertise in developing machine learning for computational biology
Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion
Strong publication record
online only