Pfizer Computational Scientist, Machine Learning in Cambridge, Massachusetts
Pfizer Simulation and Modeling Sciences (SMS) group has an opening for a computational methods developer with expertise in molecular modeling, machine learning (ML), and scientific programming. The successful candidate will develop and deploy molecular modeling techniques, ML models, and computational tools to support mRNA based therapeutic efforts across Pfizer.
In collaboration with key stakeholders across Pfizer R&D, develop state-of-the-art molecular modeling techniques, ML models, and computational tools to support mRNA therapeutics efforts. Specific tasks include, but not limited to, development of computational approaches to predict mRNA degradation and methods to improve their stability through efficient sequence optimization.
Leverage proprietary computational framework and applications to deploy computational methods and ML models for wide usage by Pfizer scientists.
Occasionally contribute to the ongoing and new method development efforts within SMS focusing on small molecule and biotherapeutics lines.
Proactively identify, assess, and internalize promising methods and tools from external publications.
Communicate and explain computational models and ML algorithms to broad scientific audience from diverse discipline.
Ph.D. in computational chemistry, physical or biological sciences, chemical engineering, computer science, or related discipline.
Proficiency in general molecular modeling techniques.
Proficiency in high-level programming language (e.g. Python); experience with Unix/Linux, HPC environments.
Experience with machine learning.
Strong track record of publications demonstrating applications of molecular modeling and/or ML to problems of pharmaceutical interest.
Excellent communication and interpersonal skills.
- Experience in applying molecular modeling and/or ML to mRNA design and optimization.
Additional Job Information:
Eligible for employee referral bonus
Eligible for relocation support
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