Machine Learning and Computational Chemistry Scientist

We're Hiring: Machine Learning and Computational Chemistry Scientist!

We are seeking to hire a Machine Learning and Computational Chemistry Scientist in

South San Francisco, CA.

Location: South San Francisco, United States

Work Mode: Work From Office

Role: Machine Learning and Computational Chemistry Scientist

Pay Scale: $72, 529 – $174, 604 (Dependent on Experience)

What You'll Do

• Implement machine learning and computational chemistry-based methods to enhance
  
  

mass-spectrometry workflows, focusing on small molecule drug discovery, ensuring high

accuracy and efficiency in analytical processes.

• Closely collaborate with other scientists and researchers within and outside MLDD to
  
  

identify platform development and automation opportunities for analytical workflows that

facilitate drug discovery research.

• Build and scale the mass-spectrometry and analytical chemistry platform by deploying novel
  
  

machine learning and computational algorithms in collaboration with experimental teams that

meet the research needs of the broader department and the Client Company's community.

• Contribute to and drive publications, present results at internal and external scientific
  
  

conferences, and help make code and workflows open source.

What we are looking for in a Machine Learning and Computational Chemistry Scientist:

• MS or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or
  
  

quantitative field (e.g. Computer Science, Machine Learning) or equivalent industry research

experience.

• 3-5 years of applicable experience.
• Record of scientific excellence as evidenced by at least one publication in a scientific journal
  
  

or conference.

• Fluent in Python and experience with scientific software development for analytical
  
  

chemistry (e.g. RDKit, MS data suite including, but not limited to, Proteowizard, Sirius, GNPS,

XCMS, Asari)

• Demonstrated experience with modern Python frameworks for deep learning like PyTorch
  
  

Ready to revolutionize chemical research? Apply now and let's innovate together!