37 applicants

Company

BigHat Biosciences · 1 day ago

Machine Learning Scientist

San Mateo, CA

Full-time

Hybrid

Senior Level

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Artificial Intelligence (AI)Biotechnology

H1B Sponsor Likely

Hiring Manager

Danielle Landrein

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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.

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.

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 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 the BigHat ML platform, and plan the next phase of ML research accordingly.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonPyTorchProtein Structure ModelingBiophysicsNGS DataAntibody BiologyAWS

Required

Self-motivated and accomplished Machine Learning Scientist

Deep understanding of real world drug development problems

Design and implement state-of-the-art generative models of antibody sequence and structure

Develop multi-modality, multi-objective iterative protein sequence optimization approaches

Share findings at top-tier conferences and publish in leading scientific journals

Provide ML expertise and support for ongoing therapeutics programs

Collaborate with engineering team for efficient deployment of models

Work closely with interdisciplinary team to identify inefficiencies or improvements

Preferred

PhD in ML/CS or in the hard sciences with equivalent experience developing and applying novel ML methods

Publications in major ML conferences and/or leading journals

Strong competency in Python

Familiarity with PyTorch

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

Experience with protein structure modeling and biophysics

NGS data

Familiarity with antibody biology

Experience training and deploying models on AWS

Company

BigHat Biosciences

BigHat Biosciences is a protein therapeutics company that develops an antibody design platform guided by artificial intelligence.

Founded in 2019

San Mateo, California, USA

51-200 employees

http://www.bighatbio.com

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)

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Trends of Total Sponsorships

2023 (2)