Principal Machine Learning Scientist

This is a fully remote position, open to applicants in California.

📋 Description

• Design and execute generative models for antibody sequences and structures, as well as predictive models for antibody characteristics.

• Offer leadership, technical direction, and mentorship to machine learning (ML) and data science personnel, including interns.

• Assist in formulating strategies for future ML research informed by BigHat programs, operations, and challenges in drug development.

• Create and implement de novo design methodologies to generate initial hits for therapeutically relevant targets.

• Innovate multi-modality, multi-objective iterative protein sequence optimization for lab-in-the-loop antibody design.

• Maintain a comprehensive understanding of ML-driven protein engineering.

• Present research findings at prestigious conferences and publish in reputable scientific journals.

• Provide ML expertise for therapeutic programs and contribute to the development of new drugs.

• Collaborate with engineering teams on the automated and agentic deployment of models.

• Work alongside interdisciplinary teams in drug development, wet lab operations, automation, and data science to identify platform enhancements and prioritize the development of ML methods.

⛳️ Requirements

• PhD in Machine Learning, Computer Science, or a related hard science, with over 5 years of post-graduate experience in developing and applying innovative ML techniques.

• Strong quantitative skills.

• Publications in prominent ML conferences and/or leading scientific journals.

• Extensive, demonstrable experience in developing and applying novel ML solutions in an industrial setting.

• Proficiency in Python.

• Familiarity with PyTorch.

• Experience with contemporary software engineering best practices.

• Exceptional communication abilities.

• Adequate biomedical domain knowledge to effectively collaborate with diverse scientific teams.

• Capability to manage multiple projects in a high-paced environment.

• Awareness of the current advancements in ML-driven protein engineering.

• Nice-to-haves include experience in de novo design, NGS data analysis, Bayesian optimization, antibody biology, drug development, and training/deploying models on AWS.

🏝️ Benefits

• A variety of health insurance plan options available through Anthem and Kaiser (monthly credit offered if benefits are waived).

• Dental and vision coverage provided through Guardian.

• Additional well-being benefits available through Nayya, OneMedical, Wagmo, Rula, and others.

• 401(k) plan with company matching.

• Discretionary Time Off (DTO), two weeks of company-wide shutdown, and 12 recognized holidays.

• Paid parental leave.

• Performance bonuses.

• Stock options.