AI Research Scientist III

Allen Institute • Seattle, WA

124d • $180,000 - $236,500 • Remote

About The Position

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. The mission of the Office of the Chief Technology Officer (CTO) is not only to provide state of the art engineering infrastructure to the Allen Institute as a whole, but to also address high-risk, high-reward questions in biology through AI. We are seeking an independent and motivated Scientist in the Office of the CTO to build large AI/ML models for Biology. Reporting to the Senior Director of AI Applications, you will help 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 collaboratively across all Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology (SeaHub). AI/ML focus areas could include multimodal foundation models, diffusion models, causal representation learning, and beyond. At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

Requirements

• PhD in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience.
• Minimum of 5 years postdoctoral / work experience.
• Demonstrated ability to design, implement and apply AI/ML models for the analysis of large-scale biological data.

Nice To Haves

• 3 - 7 years of experience developing and applying ML methods.
• Strong publication record of innovative scientific accomplishments (both individual and team).
• Expertise in Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas.
• Solid understanding of statistical analysis, data preprocessing, feature selection, and model evaluation techniques.
• Experience building data pipelines to make biological data ML-ready.
• Experience with data visualization and presentation of complex biological findings to both technical and non-technical audiences.
• Strong problem-solving skills and ability to develop innovative computational approaches to address complex biological questions.

Responsibilities

• Develop and deploy large scale ML models that deepen our understanding of complex biological systems in health and disease by incorporating diverse biological datatypes.
• Help to establish community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems across the model lifecycle.
• Collaborate with teams of scientists, computational biologists, and software engineers within the Allen Institute and external partners to help drive large scale AI/ML models.
• Collaborate with software engineers to build state-of-the-art engineering infrastructure at the Allen Institute to support large scale AI/ML research and applications.
• Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing.
• Support the promotion of open science through publishing papers and open-source code.

Benefits

• Medical, dental, vision, and basic life insurance.
• 401k plan.
• Paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Ambulatory Health Care Services
• Education Level: Ph.D. or professional degree