Job Title: Machine Learning and Computational Chemistry Scientist

Duration: 12 Months

Location: South San Francisco, CA 94080

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.

Roles & 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.

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

About Us: Established in 2004, SPECTRAFORCE ® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at:

Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.

Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at if you require reasonable accommodation.

California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act (“CPRA”) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting

LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE , your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.

At SPECTRAFORCE , we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.