Senior Scientist, Machine Learning

Atomic AI, Inc.
South San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Computational Biology Experimental Data Python (Programming Language) Machine Learning Pytorch Deep Learning Information Technology Data Pipelines

Job description

As a full-time Senior Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our R&D technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform. You will proactively shape the directions of the machine learning efforts and those of the whole company., * Design and develop novel machine learning models for RNA structure prediction and drug targeting.

  • Evaluate and advance the state of the art of our structure prediction platform.
  • Collaborate with the biosciences team on the targeted acquisition of experimental data to improve our machine learning models.
  • Develop high-quality code in a team setting.
  • Work with the engineering team for model training and deployment and guide the data pipeline development.
  • Analyze, interpret, and organize results and present progress to colleagues in regular research meetings.
  • Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.

Requirements

you will be an execution-focused self-starter with a passion for scientific research and a positive attitude when facing challenges. You will prioritize effectively amidst complexity, adapt nimbly to changing conditions, and grow outside of your comfort zone. You will collaborate thoughtfully and promote the success of all team members., * Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field.

  • 5+ years of experience developing machine learning methods for scientific applications.
  • Foundational knowledge of machine learning and underlying mathematical concepts.
  • Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).
  • Excellent presentation and writing skills, able to clearly communicate technical information to colleagues., * Publications at major machine learning conferences or in major scientific journal
  • Research experience related to structural biology, molecular design, and drug discovery.
  • Foundational knowledge of physics, chemistry, and molecular biology.
  • Demonstrated ability to develop performant code.

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