Machine Learning Scientist - South San Francisco - BEPC Inc. - Business Excellence Professional Consulting

    BEPC Inc. - Business Excellence Professional Consulting
    $90,000 - $165,000 (USD) per year * Pharmaceutical / Bio-tech
    Description

    Job Title: Machine Learning Scientist

    Location: South San Francisco, CA 94080

    Pay Rate: $44.59 – $47.59 per hour (Determined by experience)

    Contract Duration: W2 Contract, 12 Month Contract with possibilities for extensions

    Work Model: 100% Onsite

    Role Overview

    BEPC is seeking a Machine Learning Scientist to support computational method development within a cutting-edge therapeutic discovery environment in South San Francisco, CA.

    This role sits within a Structure and Simulation team focused on advancing biomolecular design and accelerating therapeutic discovery through modern machine learning and scientific computing approaches. The ideal candidate will contribute to developing new ML-driven methodologies and deploy production-ready scientific software to support computational and experimental scientists.

    Key Responsibilities

    Scientific Method Development

    Develop new machine learning methodologies for understanding, scoring, ranking, generation, and design of biomolecules (especially proteins)

    Build predictive and generative models to prioritize promising molecular designs

    Support lab-in-the-loop workflows integrating computational and wet-lab experimentation

    Software Engineering & Deployment

    Engineer scalable scientific software and deploy usable workflows

    Follow best practices in:

    Version control

    Testing

    Modular code development

    Documentation

    Collaborate within a large shared codebase

    Deploy workflows on HPC and cloud platforms

    Deliver user-friendly web-based interfaces for medicinal chemists

    Cross-Functional Collaboration

    Partner with computational and experimental scientists

    Contribute to advancing biomolecular scientific understanding

    Communicate findings clearly to multidisciplinary teams

    Required Qualifications

    BS, MS, or PhD in life sciences, physical sciences, or computational field

    Expert-level proficiency in Python

    Experience with scientific software development

    Experience deploying workflows on HPC and/or cloud platforms

    Experience working in collaborative codebases (merge requests, code reviews, writing tests)

    Understanding of modern machine learning methods, including:

    Predictive models

    Generative models

    Active learning

    Strong communication and collaboration skills

    Self-starter with high motivation and independence

    Preferred Qualifications

    Public GitHub portfolio

    Experience with Rosetta, OpenMM, or computational chemistry tools

    3+ years of industry experience

    Experience working with large chemical and biological datasets

    Graph-based data

    Sequence-based data

    Structure-based data

    Ideal Candidate

    Strong ML background applied to molecular design

    Comfortable working at the intersection of biology and computation

    Production-oriented engineer who values clean, deployable code

    Collaborative, yet capable of independent problem-solving

    Passionate about advancing therapeutic discovery

    * This salary range is an estimation made by beBee
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