Atomic
Scientist, Machine Learning
South San Francisco, California, United States · Full-time
Sponsorship not specifiedDetected 134 days ago
PythonMachine LearningDeep LearningPyTorchBioinformaticsResearchWriting
About the role
- As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our technology platform for RNA structure prediction, target identification, and early drug discovery.
- 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.
Responsibilities
- Develop high-quality code in a team setting.
- Research experience related to structural biology, molecular design, and drug discovery.
Requirements
- Foundational knowledge of physics, chemistry, and molecular biology.
Skills
- Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.
- This range reflects variations in seniority, expertise, and skills.
Compensation
- $170,000/year to $220,000/year + equity + benefits.
- This range reflects variations in seniority, expertise, and skills.
Benefits
- Design and develop novel machine learning models for RNA structure prediction and drug targeting.
- Collaborate with our wetlab team on the targeted acquisition of experimental data to improve our machine learning models.
- Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.
- Salary Range (all levels): $170,000/year to $220,000/year + equity + benefits.
This listing is sourced directly from Atomic's careers page and normalized into a canonical job model.