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Machine Learning Scientist

Job in South San Francisco, San Mateo County, California, 94083, USA
Listing for: Software Guidance & Assistance, Inc. (SGA, Inc.)
Full Time position
Listed on 2026-03-02
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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

Responsibilities
  • Develop new scientific methodology and produce and deploy workflows usable by computational and ultimately wet‑lab scientists.
  • Collaborate extensively with computational and experimental researchers within Prescient Design and to advance our scientific understanding of biomolecules.
  • Work as a machine learning scientist to develop new scientific methodology for the understanding, scoring, ranking, generation, and design of biomolecules, especially proteins.
  • Work as an engineer of scientific software, to produce usable, deployable code for these new methods to power the lab‑in‑the‑loop.
  • Use software best practices (version control, testing, modular code development, documentation, etc.) to collaborate on a large codebase with our team of methods developers.
  • Deploy workflows on HPC and cloud platforms and deliver user‑friendly web‑based interfaces to medicinal chemists across client and firm.
Required Skills
  • BS, MS, or PhD degree in a life or physical science or a computational field.
  • Expert in Python and experience with scientific software development.
  • Experience with deploying software workflows on cloud and/or HPC platforms.
  • Experience working on collaborative code bases, including merge requests, code review, writing tests etc.
  • Highly‑motivated and independent self‑starter that is eager to collaborate.
  • Excellent communication and interpersonal skills.
  • Basic understanding of modern machine learning methods including predictive models, generative models, and active learning as applied to molecular generation and optimization.
Preferred Skills
  • Public portfolio of projects available on Git Hub.
  • Experience with Rosetta, OpenMM, and/or computational chemistry codes.
  • 3+ years of industry experience.
  • Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure‑based data.

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 ase find us at

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.

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