Machine Learning and Computational Chemistry Scientist

Software Guidance & Assistance, Inc., (SGA), is searching for a Machine Learning and Computational Chemistry Scientist for a contract assignment with one of our premier Pharmaceutical Services clients in South San Francisco, CA.

Seeking a highly motivated Machine Learning Scientist with domain expertise in mass-spectrometry (MS) data to join Machine Learning Drug discovery (MLDD) within the firm'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.

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 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.

Required Skills:

• 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

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/ .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.