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Senior Machine Learning Research Scientist

vor 2 Monaten


Berlin, Berlin, Deutschland Pfizer Vollzeit
About the Role

Pfizer's Machine Learning Hub is seeking a highly skilled 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.

Key Responsibilities
  • Develop and implement advanced machine learning models specifically designed for analyzing heterogeneous biological data, including 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 scientists in other functions.
  • Strengthen external visibility and scientific excellence through publishing/presenting work in reputable journals and conference/workshop venues and engaging with the scientific community.
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 heterogeneous 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.
What We Offer
  • Annual base salary range: $99,900.00 to $166,000.00.
  • Eligibility for participation in Pfizer's Global Performance Plan with a bonus target of 15.0% of the base salary.
  • Eligibility to participate in our share-based long-term incentive program.
  • Comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments.