BigHat Biosciences · 2 months ago
Principal, Machine Learning Scientist
San Mateo, CA
Full-time
Onsite
Senior Level, Lead/Staff
$233K/yr - $266K/yr
5+ years expBigHat Biosciences is a biotech company focused on designing safer and more effective biologic therapies using machine learning and synthetic biology. They are seeking a Principal Machine Learning Scientist to advance their ML-driven therapeutic antibody design platform, involving hands-on methods development and shaping future ML research directions.
Artificial Intelligence (AI)BiotechnologyMedicalTherapeutics
Responsibilities
Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies
Identify opportunities for improvement in our ML tooling, and help to set strategy for ML research, driven by a strong high-level understanding of real-world drug development challenges
Develop, refine, and deploy •de novo• design methods for generating initial hits to challenging, therapeutically interesting targets
Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties
Maintain an in-depth understanding of the current state-of-the-art in ML-driven protein engineering, both in the literature and at BigHat
Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering
Provide technical guidance and mentorship to other ML and data science FTEs and interns
Provide ML expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs
Collaborate with our engineering team to ensure maximal efficiency in the automated deployment of our latest models to ongoing drug development programs
Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize ML methods development accordingly
Qualification
Required
PhD in ML/CS or in the hard sciences with 5+ years experience developing and applying novel ML methods and a strong quantitative background
Publications in major ML conferences and/or leading journals, or extensive demonstrable track record developing and applying novel ML in industry
Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices
Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams
Enjoys a fast-paced environment and excels at executing across multiple projects
Familiarity with the current state-of-the-art in ML-driven protein engineering
Preferred
Experience with de novo design
Experience with NGS data
Experience with Bayesian optimization
Familiarity with antibody biology and drug development
Experience training and deploying models on AWS
Benefits
Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
Dental, and vision coverage through Guardian
Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
401(k) with company match
DTO, two weeks of company-wide shutdown, and 12 company holidays
Paid parental leave
Company
BigHat Biosciences
BigHat Biosciences is a protein therapeutics company that develops an antibody design platform guided by artificial intelligence.
51-200 employees
H1B Sponsorship
BigHat Biosciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (2)
Funding
Current Stage
Growth StageTotal Funding
$99.3MKey Investors
S32Andreessen HorowitzNational Institute of Standards and Technology
2022-07-20Series B· $75M
2021-02-10Series A· $19M
2020-10-01Grant
Leadership Team
Peyton Greenside
CEO
Recent News
2025-09-20
2025-05-21
Labiotech.eu
2025-05-08
Company data provided by crunchbase