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Principal Scientist - Computational Biologist / ML Researcher - OCTO
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The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
We are seeking an independent and motivated researcher in the Office of the CTO to build large AI / ML models for Biology. Specifically, you will develop and apply SOTA AI / ML methods for the representation, analysis and interpretation of multimodal data to understand biological systems in health and disease. This role works with diverse biological datatypes, including multi-omics data, microscopy data, in vivo and behavioral imaging data, electrophysiological data, and clinical data. The role is also expected to work collaboratively across all of the Allen Institutes including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology. AI / ML focus areas could include multimodal foundation models, diffusion models, causal representation learning, and beyond.
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
Essential Functions
- Develop and deploy ML models that deepen our understanding of complex biological systems in health and disease
- Promote open science through publishing papers and open-source code
- Collaborate with teams of scientists, computational biologists, and software engineers within the Allen Institute and external partners
- Advance community standards for scalability in developing, disseminating, and evaluating AI / ML / computational methods for scientific problems
- Lead the development of state-of-the-art engineering infrastructure at the Allen Institute to support AI / ML research and applications
- Stay up-to-date with the latest advancements in AI / ML and their potential applications in biological research, ensuring the Allen Institute remains at the forefront of this field
- Foster a collaborative and inclusive work environment that values diversity and encourages participation from team members with different voices, experiences, and backgrounds
- Mentor and guide junior researchers, interns, or students working on AI / ML projects related to biological research
- Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing
Required Education and Experience :
Preferred Education and Experience :
Physical Demands
Position Type / Expected Hours of Work
Travel
Additional Comments
Annualized Salary Range
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and / or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.
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Salary : $174,000 - $232,000
