EPM Scientific
Title:
Machine Learning Researcher / Engineer Location:
New York, NY Salary:
$300,000-$400,000
EPM Scientific is proud to partner with
a leading computational research organization
dedicated to advancing molecular science through high-performance computing and machine learning. We are seeking a
Machine Learning Researcher / Engineer
to join a world-class team applying AI to drug discovery, biomolecular simulation, and biophysics.
This is a unique opportunity to collaborate with chemists, biologists, and computer scientists to expand the group's efforts in applying machine learning to some of the most complex and high-impact problems in science. You'll contribute to projects ranging from molecular dynamics and quantum chemistry to generative molecular design-helping to accelerate the discovery of new therapeutics.
What You'll Do Develop and apply deep learning models to problems in molecular modeling, structural biology, and drug discovery. Collaborate across disciplines to integrate ML into simulation workflows and scientific pipelines. Analyze large-scale scientific datasets to extract insights and improve predictive accuracy. Contribute to the design of scalable ML infrastructure and tools for internal research use. Basic Qualifications
Ph.D. or equivalent research experience in Machine Learning, Computer Science, Computational Chemistry, or a related field. Strong Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow. Demonstrated expertise in developing and evaluating deep learning models. Intellectual curiosity, versatility, and a track record of innovation in machine learning. Preferred Qualifications
Experience in one or more of the following: molecular dynamics, structural biology, medicinal chemistry, cheminformatics, or quantum chemistry. Familiarity with scientific computing environments and high-performance computing. Peer-reviewed publications in top-tier AI or computational science venues.
Machine Learning Researcher / Engineer Location:
New York, NY Salary:
$300,000-$400,000
EPM Scientific is proud to partner with
a leading computational research organization
dedicated to advancing molecular science through high-performance computing and machine learning. We are seeking a
Machine Learning Researcher / Engineer
to join a world-class team applying AI to drug discovery, biomolecular simulation, and biophysics.
This is a unique opportunity to collaborate with chemists, biologists, and computer scientists to expand the group's efforts in applying machine learning to some of the most complex and high-impact problems in science. You'll contribute to projects ranging from molecular dynamics and quantum chemistry to generative molecular design-helping to accelerate the discovery of new therapeutics.
What You'll Do Develop and apply deep learning models to problems in molecular modeling, structural biology, and drug discovery. Collaborate across disciplines to integrate ML into simulation workflows and scientific pipelines. Analyze large-scale scientific datasets to extract insights and improve predictive accuracy. Contribute to the design of scalable ML infrastructure and tools for internal research use. Basic Qualifications
Ph.D. or equivalent research experience in Machine Learning, Computer Science, Computational Chemistry, or a related field. Strong Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow. Demonstrated expertise in developing and evaluating deep learning models. Intellectual curiosity, versatility, and a track record of innovation in machine learning. Preferred Qualifications
Experience in one or more of the following: molecular dynamics, structural biology, medicinal chemistry, cheminformatics, or quantum chemistry. Familiarity with scientific computing environments and high-performance computing. Peer-reviewed publications in top-tier AI or computational science venues.