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BigHat BiosciencesBB

Lead ML Scientist: Antibody Design & Therapeutics

BigHat Biosciences is pioneering the use of machine learning in antibody therapy development, aiming for improved patient outcomes.

BigHat Biosciences

Employee count: 51-200

Salary: 233k-266k USD

United States only

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A biotechnology company in San Mateo is seeking a Principal Machine Learning Scientist to advance ML-driven therapeutic antibody design. This role involves designing models, mentoring staff, and contributing to drug development. Candidates should have a PhD in ML/CS, experience in ML methods, and a strong background in Python. The compensation is competitive, with an estimated salary range of $233,000 - $266,000 plus benefits.
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Salary

Salary: 233k-266k USD

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United States +/- 0 hours

About BigHat Biosciences

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BigHat Biosciences specializes in the development of next-generation antibody therapies utilizing machine learning and synthetic biology. Founded in 2019, our company is dedicated to creating safer and more effective treatments for patients affected by challenging diseases. Our mission is propelled by our Milliner™ platform, which integrates high-speed wet lab capabilities with advanced machine learning technologies to improve biologic drug development.

At BigHat, we have cultivated a high-performance culture that prioritizes excellence while ensuring a family-friendly work environment. We engage in strategic partnerships to tackle complex therapeutic challenges and have raised over $100 million from esteemed investors, reflecting confidence in our innovative approach. Our team — composed of scientists, engineers, and problem solvers — continuously strives to revolutionize antibody design and engineering. By harnessing the power of AI, we aim to lead the charge in biotherapeutics and build a healthier future for patients globally.

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BigHat Biosciences

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