Senior Machine Learning Research Scientist | Germany, United States | Pfizer Inc.

Position:	Senior Machine Learning Research Scientist
Institution:	Pfizer Inc.
Location:	Germany, United States
Duties:	Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. This includes data from genomics, proteomics, metabolomics, and other biological sources; Advance the internal machine learning tech stack to cope with spurious correlation, obscuring variation and inherent multimodality of biomedical, chemical, and ‘omics data; Research, design and implement learning algorithms for analysis problems related to drug discovery; Be an active member of a highly interdisciplinary team; Conceive, execute and evaluate studies and experiments, interpret the results and present them to scientist in other functions
Requirements:	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

Text:	Senior Machine Learning Research Scientist Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. This includes data from genomics, proteomics, metabolomics, and other biological sources; Advance the internal machine learning tech stack to cope with spurious correlation, obscuring variation and inherent multimodality of biomedical, chemical, and ‘omics data; Research, design and implement learning algorithms for analysis problems related to drug discovery; Be an active member of a highly interdisciplinary team; Conceive, execute and evaluate studies and experiments, interpret the results and present them to scientist in other functions 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