We are looking for an AI Scientist to play a central role in advancing generative AI for biological applications, specifically in the design and development of protein and antibody therapeutics. This position sits at the intersection of artificial intelligence and life sciences, where machine learning innovations directly inform breakthroughs in medicine.
Key Responsibilities
- Lead the design and execution of AI-driven research initiatives that push the limits of current models in biology.
- Partner with scientists and clinicians to integrate AI into real-world drug discovery workflows.
- Contribute to a collaborative research environment by sharing knowledge, reviewing work, and mentoring peers.
- Develop and refine deep learning architectures tailored to biological data and therapeutic design.
Qualifications
Applicants must have completed or be within one year of completing a PhD in a field related to artificial intelligence or machine learning. We value evidence of technical depth and scientific curiosity.
- Publications in machine learning or computational biology venues are strongly preferred.
- Active open-source contributions or public code repositories demonstrate engagement with the broader AI community.
- Hands-on experience training neural networks across multiple GPUs is essential.
- Industry experience in an AI-focused organization, such as an internship or full-time role, is a plus.
- Familiarity with BioAI or applying machine learning to biological problems is highly beneficial.
Work Environment
This is a hybrid role with team hubs in the San Francisco Bay Area, Seattle, and London. The culture is open, inclusive, and driven by intellectual collaboration. We welcome applicants across all levels of experience and backgrounds, valuing diverse perspectives as central to scientific innovation.
Compensation and Benefits
The annual salary range is $120,000 to $240,000, with additional bonus and equity included. The organization offers a comprehensive benefits package and supports long-term career development in a flexible, supportive environment.
