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 for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery. Our team is located in Cambridge, MA, USA and Berlin, Germany and this role can accommodate an exceptional candidate in either location.
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 and a sincere interest for computational life sciences
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 and demonstrated contributions to the field
Solid expertise with ML libraries such as PyTorch, Lightning is mandatory! Programming skills in Python must be top-notch. Experience with relevant libraries of the Python scientific stack is a big plus.
Familiarity with GPU computing both on-premises and on cloud platforms
Fluency with common version control tools and collaborative coding
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
online only