Provide AI/ML and computational biology expertise to support Vaccine research & Development; Develop an integrated framework connecting multi-omics data analysis and ML algorithm to enhance vaccine target selection and optimization strategy; Work with platform leadership to shape and inform key RNA strategy and execution; Actively identify opportunities to leverage latest advances in AI/ML application; Communicate study findings efficiently and present data at various meetings as projects progress; Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer, and potentially from external partners
Requirements:
PhD in Systems Biology, Computer Science, Mathematics, or related quantitative field; 6+ years of experience developing and applying Machine Learning to address challenge biological problems; Foundational knowledge of ML methods and underlying mathematical concepts; Research experience related to next generation RNA therapeutics design and drug discovery; Proficiency with deep learning frameworks and data structures
Text:
Senior Principal Scientist, AI/ML mRNA Vaccine Design Provide AI/ML and computational biology expertise to support Vaccine research & Development; Develop an integrated framework connecting multi-omics data analysis and ML algorithm to enhance vaccine target selection and optimization strategy; Work with platform leadership to shape and inform key RNA strategy and execution; Actively identify opportunities to leverage latest advances in AI/ML application; Communicate study findings efficiently and present data at various meetings as projects progress; Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer, and potentially from external partners PhD in Systems Biology, Computer Science, Mathematics, or related quantitative field; 6+ years of experience developing and applying Machine Learning to address challenge biological problems; Foundational knowledge of ML methods and underlying mathematical concepts; Research experience related to next generation RNA therapeutics design and drug discovery; Proficiency with deep learning frameworks and data structures
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