Degree in Artificial intelligence- AI
Degree in Computational Biology
Degree in Computational Materials Science
Aartificial intelligence, Deep Learning, Design, Effective communication skills, JAX framework, Machine learning techniques, Presentation skills, Python Programming, PyTorch
The opportunity
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.
At Atomic AI, 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.
Primary responsibilities
About you
Pluses
Salary Range (for all levels): $200,000/year to $250,000/year + equity + benefits
Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
Atomic AI is a well-funded, early-stage biotech company transforming the rational design of molecules and medicines through the cutting-edge fusion of artificial intelligence and structural biology. Atomic’s unique R&D platform, based on research featured on the cover of Science (doi.org/10.1126/science.abe5650), provides new strategies to treat or cure previously-undruggable diseases by targeting RNA structure.