Principal Machine Learning Scientist BigHat Biosciences
Overview
Lead generation of next-generation antibody therapeutics using advanced machine learning. Drive innovation in protein engineering and collaborate across disciplines. Shape ML research strategy and contribute to drug development.
What You'll Do11
- 1Design and implement generative models for antibody sequences and structures trained on proprietary datasets
- 2Provide leadership technical guidance mentorship to ML and data science teams
- 3Set strategic direction for ML research aligned with drug development challenges
- 4Develop de novo design methods for therapeutic antibody hits
- 5Create multi-modality iterative optimization approaches for lab-in-the-loop design
- 6Maintain deep understanding of ML-driven protein engineering advancements
- 7Share findings at top-tier conferences and publish in leading journals
- 8Support therapeutics programs with ML expertise
- 9Collaborate with engineering team for model deployment efficiency
- 10Identify platform inefficiencies and prioritize ML method development
- 11Work with interdisciplinary teams to enhance platform performance
Requirements10
- 1PhD in ML/CS or hard sciences with 5+ years experience post-graduation
- 2Publications in major ML conferences or leading journals
- 3Strong quantitative background and track record of novel ML application
- 4Proficiency in Python and PyTorch
- 5Experience with modern software engineering best practices
- 6Biomedical domain knowledge for effective scientific collaboration
- 7Familiarity with AWS for model deployment
- 8Understanding of antibody biology and drug development processes
- 9Experience with data engineering concepts
- 10Commitment to fast-paced environment and cross-project execution
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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