Scientific Data Engineer II (Data Scientist)

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Scientific Data Engineer II (Data Scientist)

Scientific Data Engineer I I - Data Scientist – Office of the CTO

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 data scientist in the Office of the CTO AI Applications group. This position will work closely with AI researchers, researcher scientists and engineering teams to build large AI / ML models for Biology and the computational infrastructure to support these models. 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 Allen Institute teams including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology.

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.

Essential Functions

• Contribute to ML models that deepen our understanding of complex biological systems in health and disease, including data wrangling, data curation, and data validation for AI / ML models
• Lead data management, software infrastructure and AI / ML workflow best practices and policies
• Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing
• Promote open science through publishing papers and open-source code
• Advance community standards for scalability in developing, disseminating, and evaluating AI / ML / computational methods for scientific problems
• Foster a collaborative and inclusive work environment that values diversity and encourages participation from team members with different voices, experiences, and backgrounds

Note : Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Education and Experience

Preferred Education and Experience

Physical Demands

Position Type / Expected Hours of Work

Travel

Additional Comments

Annualized Salary Range

104,050 - $128,700

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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