Applied Machine Learning Scientist - San Francisco - insitro

Description

The Opportunity

Machine learning lies at the core of insitros approach to rethinking drug development. Weve built a ChemML Platform that uses AI to accelerate small molecule discovery from hit-finding through lead optimization. Our innovative approach enables us to rapidly design drugs against internally discovered novel AI targets, with models powered by some of the industrys largest and most comprehensive datasets: Billions of proprietary binding affinity measurements, Hundreds of thousands of ADMET and In Vivo PK measurements, Experimental data generated through our AI-driven DMTL optimization cycles.

The Role

• Develop insitros ChemML Platform.
• Work with industry?leading ADMET/In Vivo PK datasets to train and finetune foundation chemistry AI models.
• Develop small molecule generative AI and enumeration methods conditioned using our ADMET/affinity models for multi?parameter optimization (MPO).
• Collaborate with software engineering teams to build robust pipelines for active/iterative learning and automated DMTL cycles.
• Directly shape the roadmap for our ChemML platforms evolution.

Integrate AI to Drive Our Small Molecule Discovery Programs.

• Collaborate cross?functionally with machine learning scientists, medicinal chemists, and computational chemists to design and prioritize novel compounds using model outputs.
• Apply predictive models and AI?enabled design methods to solve real molecular optimization challenges across multiple therapeutic programs.
• Track performance of our binding affinity, selectivity, and ADMET/PK models on discovery programs and translate those insights into model improvements.
• Communicate model capabilities, results, limitations, and recommendations clearly to diverse stakeholders in regular discovery team meetings.

About You

• PhD in computational chemistry, computer science, machine learning, cheminformatics, or related field.
• 3 years of industry experience applying machine learning to small molecule drug discovery.
• Strong programming skills in Python and modern deep learning frameworks (PyTorch or TensorFlow).
• Demonstrated expertise in developing geometric deep learning and/or generative AI methods for small molecules.
• Proficiency with at least 12 cheminformatics toolkits (RDKit, OpenEye, or Schrdinger).
• Excellent communication skills with ability to translate technical concepts to diverse audiences.
• A solid familiarity with small molecule drug discovery process and design methods (e.g., SAR, MPO, DMTL cycles, ADMET assays, in silico enumeration).

Compensation & Benefits at insitro

Our target starting salary for successful US?based applicants for this role is $185,000??$235,000. To determine starting pay, we consider multiple job?related factors including a candidates skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

In addition, insitro also provides our employees: 401(k) plan with employer matching for contributions, excellent medical, dental, and vision coverage as well as mental health and well?being support.

Open, flexible vacation policy. Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc).

Quarterly budget for books and online courses for self?development. Support to attend professional conferences that are meaningful to your career growth and roles responsibilities. New hire stipend for home office setup. Monthly cell phone & internet stipend. Access to free onsite baristas and cafe with daily lunch and breakfast for employees who are either onsite or hybrid. Access to free onsite fitness center for employees who are either onsite or hybrid. Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay.

EEO Statement

insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We aim to bring together diverse teams?grounded in a wide range of expertise and life experiencesand work even harder to ensure those teams thrive in inclusive, growth?oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process.

Please be aware of recruitment scams: we never request payments, all recruitment communications are from @ , and if in doubt, contact us at .

About insitro

insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitros approach is the convergence of in?house generated multi?modal cellular data and high?content phenotypic human cohort data. We rely on these data to develop ML?driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit .