Enhance mass-spectrometry workflows for small molecule drug discovery, focusing on analytical processes to ensure high accuracy and efficiency.
Requirements
- 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
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.
- 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.
Other
- 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.
- Work From Office
