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Machine Learning and Computational Chemistry Scientist

S San Francisco, CA 94080

Posted: 12/03/2024 Employment Type: Contract Job Category: Data Sciences Job Number: 616378 Is job remote?: No Country: United States

Job Description


The client is seeking a highly motivated Machine Learning Scientist with domain expertise in mass-spectrometry (MS) data to join Machine Learning Drug discovery (MLDD) within the Client Company's Research and Early Development department. The successful candidate will drive research and engineering efforts to develop MS data platforms that enable drug discovery research within the department. This role involves extensive collaboration with computational and experimental scientists and researchers across the department to deploy and deliver machine learning and engineering solutions for small-molecule drug discovery.

The Role
  • 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.

Desired Qualifications
  • 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
  • Experience working with biochemical or biophysical datasets including graph, sequence, and structure-based data.
  • Public portfolio of projects available on GitHub/GitLab





Pay Rate Range: $55-85/hr depending on experience 

The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly and never provide banking information during the application process. Candidate safety is a top priority at Planet Pharma.

Planet Pharma is an equal opportunity employer. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.

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About S San Francisco, CA

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Although this hasn't been an issue at Planet Pharma, the staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly and never provide banking information during the application process. Candidate safety is a top priority at Planet Pharma.