Jobware GmbH

Job Description

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
Principal downstream application domains include indication expansion, target identification, disease mechanism elucidation, and partnering with practitioners in these areas to advance the state-of-the-art.

• 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
• Strengthen external visibility and scientific excellence through publishing / presenting work in reputed journals and conference/workshop venues and engaging with the scientific community

• 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

PHYSICAL/MENTAL REQUIREMENTS
Ability to perform mathematical calculations and ability to perform complex data analysis. Relocation support available.
The annual base salary for this position ranges from $99,900.00 to $166,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.View More