Principal, Machine Learning Scientist Department: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Reporting To: Hunter Elliot Description The role: We are seeking a creative, acco…
Skills: Machine learning, Python, PyTorch, Protein engineering, Generative models
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$254k–$290k/yr
Full-time
postgraduate degree
Health insurance, Dental coverage, Vision coverage, 401(k) with company match, Paid parental leave, Company-wide shutdown
Posted 7d ago
~40 hrs/week
Responsibilities
The Principal Machine Learning Scientist will design and implement generative models for antibody sequence and structure while providing technical leadership to the data science team. They will collaborate with interdisciplinary teams to integrate ML methods into the high-throughput wet-lab platform for accelerated drug discovery.
Requirements
Candidates must hold a PhD in ML, Computer Science, or a hard science with at least 5 years of post-graduation experience in novel ML methods. Strong proficiency in Python, PyTorch, and a proven track record of scientific publications and industry application are required.
Full job description
Principal, Machine Learning Scientist
Department: DS/ML (Data Science/Machine Learning)
Employment Type: Full Time
Location: San Mateo, CA
Reporting To: Hunter Elliot
Description
The role: We are seeking a creative, accomplished Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design.
At BigHat Biosciences our full-stack antibody drug development platform uses ML to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models. This makes the development of complex, next-gen therapeutics ‘trivially parallelizable’, at a pace which only accelerates as we develop better ML tooling.
You’re not interested in just git-cloning the latest NeurIPS pub and swapping out the dataset. Motivated by an enthusiasm for the possibility of addressing unmet patient needs and a curiosity about the underlying biology, you’ll apply your world-class ML skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future ML research, and actively participating in the application of our platform to the accelerated design of new therapeutics.
Key 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.
Provide leadership, technical guidance, and mentorship to other ML and data science FTEs and interns.
Help set strategy for future ML research, driven by a strong high-level understanding of BigHat programs and operations as well as 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 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 and agentic deployment of our latest models to our therapeutics 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.
Skills Knowledge and Expertise
PhD in ML/CS or in the hard sciences with 5+ years experience post-graduation in developing and applying novel ML methods, and a strong quantitative background.
Publications in major ML conferences and/or leading journals, and an 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
Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.
Total Rewards
The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
What BigHat Offers:
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
BigHat Biosciences is a novel protein therapeutics company and developer of an AI-guided antibody design platform
Industry
Biotechnology Research
Company size
51-200 employees
Founded
2019
Headquarters
San Mateo, California
LinkedIn followers
12,345
Total funding
$99M
BigHat’s mission is to improve human health by making it far easier to design advanced, next-generation antibody therapeutics. Our AI-enabled experimental platform integrates a high-speed characterization or “wet” lab with machine learning technologies to speed the antibody engineering process. When applied, these design capabilities have the potential to drive the development of new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.
BigHat is backed by Section 32, Andreessen Horowitz, 8VC, Amgen Ventures, Bristol Myers Squibb, Quadrille, Grids Capital, AME Cloud Ventures, Innovation Endeavors and Gaingels.
Offices: 1900 Alameda de Las Pulgas, San Mateo, California 94403, US
How many Healthcare jobs are open in San Mateo, CA right now?
There are currently 240 open healthcare positions in San Mateo, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Healthcare roles in San Mateo, CA?
Companies currently hiring include Sutter Health, Vynca, CVS Health, Telecare Corporation, BigHat Biosciences, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Healthcare jobs in San Mateo, CA?
Yes — 51 of the 240 open healthcare positions offer remote or hybrid work (23 remote, 28 hybrid).
How do I apply for Healthcare jobs in San Mateo, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.