Data Scientist for Pharmaceutical Research

3 days ago


San Francisco, California, United States Software Guidance & Assistance, Inc. (SGA, Inc.) Full time

About Software Guidance & Assistance, Inc.

Software Guidance & Assistance, Inc. (SGA, Inc.) is a women-owned business that provides technology and resource solutions to tackle big IT problems with a personal approach. Our mission is to stand out by solving complex challenges through a boutique service.

About the Job

We are seeking a highly motivated Data Scientist for Pharmaceutical Research to join our team in South San Francisco, CA. The successful candidate will drive research and engineering efforts to develop mass-spectrometry data platforms that enable drug discovery research within our department.

Key Responsibilities

  • 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 our department 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.

Requirements

  • 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.

Compensation

The estimated annual salary for this position is $120,000 - $160,000, depending on qualifications and experience. We offer a competitive benefits package, including health insurance, retirement plan, and paid time off.



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