What You Will Be Doing
As a Machine Learning Research Scientist, you will be tasked with developing innovative AI models to address significant scientific inquiries in immunology and human biology. Your primary focus will be on representation learning across various scales, ranging from individual molecules to intricate immune repertoires, to support predictive goals like disease classification and the generative modeling of protein sequences. Collaboration with molecular biologists and immunologists will be a key aspect of your work, enabling the acquisition of extensive data for model training and validation. You will work alongside a diverse team of researchers and engineers with backgrounds in mathematics, physics, chemistry, engineering, and biology.
What The Company Hiring Is Looking For
A PhD in a mathematical/computational field or equivalent practical experience.
Demonstrated problem-solving abilities.
Proficiency in constructing modern ML systems on accelerators.
Familiarity with chemistry, physics, or biology.
Some exposure to biological sequence data, protein structural modeling, or molecular dynamics.
A strong interest in AI, biology, and a commitment to developing impactful products.
Enthusiasm for a dynamic startup environment and a willingness to grow with the organization.
The company hiring values individuals who are inquisitive, ambitious, and eager to devise innovative solutions to challenging computational and biological problems.
If you are a passionate and driven scientist with a desire to contribute to cutting-edge research at the intersection of AI and biology, this role as a Machine Learning Research Scientist presents an exciting opportunity to make a meaningful impact on the future of precision immunotherapies and personalized healthcare.