ML Scientist: RNA Structure & Drug Discovery

Atomic AI; South San Francisco (CA); On-site; USD 170,000 - 220,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Atomic AI in South San Francisco is seeking a full-time Scientist on the Machine Learning team to advance RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline and contribute new ideas as part of a continuously advancing state-of-the-art platform.

You will proactively shape the directions of the machine learning efforts and collaborate with engineers, experimental scientists, and the wetlab team

Qualifications

• Ph.D./M.S./M.Eng. in a relevant field such as CS, physics, applied mathematics, materials science, computational biology, or related area.
• 4+ years of experience developing ML methods for scientific applications.
• Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).
• Excellent presentation and writing skills, able to communicate technical information clearly.

Responsibilities

• Design and develop novel ML models for RNA structure prediction and drug targeting.
• Evaluate and advance the state of the art of the structure prediction platform.
• Collaborate with wetlab team for targeted data acquisition to improve models.
• Develop high-quality code in a team setting.
• Analyze, interpret, and present results in regular research meetings.
• Shape scientific and strategic direction of the ML efforts and company.

Skills

Python

PyTorch

JAX

Communication

Education

Ph.D./M.S./M.Eng. in CS/Physics/Math/Computational Biology

Tools

JAX

PyTorch

Job description

Atomic AI in South San Francisco is seeking a full-time Scientist on the Machine Learning team to advance RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline and contribute new ideas as part of a continuously advancing state-of-the-art platform.

You will proactively shape the directions of the machine learning efforts and collaborate with engineers, experimental scientists, and the wetlab team