Scientist I – D3: Bio-realistic Modeling

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 Data-Driven Discovery Center for Biology (D3B) is committed to pioneering the future of bioscience research by leveraging state-of-the-art computational techniques and data analytics. Our mission focuses on driving advancements in neuroscience, cellular biology, and immunology through the integration of computational science and biological research. As part of the Allen Institute, D3B aims to be a global leader in creating actionable insights from complex biological data.

The Scientist will develop bio-realistic network simulations at the level of a cortical area and the whole cortex, leveraging our multimodal datasets on brain composition and connectivity and training models on in vivo data using AI approaches. The goal is to use modeling together with experiments from our collaborators to understand the mechanisms underlying brain responses to sensory stimulation, including periodic sensory stimuli and the resulting entrainment of neuronal populations.

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

• Construct and simulate biologically realistic models of brain networks using multimodal experimental data and ML/AI training approaches
• Work with our collaborators at MIT and Boston University to establish links between models and experiments
• Publish/present findings in peer-reviewed journals/scientific conferences and freely share models and results with the community

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

• PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields; or an equivalent combination of education and experience

Preferred Education and Experience

• Experience in computational neuroscience and/or systems neuroscience
• Track record of scientific excellence and independent thinking
• Strong publication record
• Experience with scientific programming (e.g., in Python) and sharing/collaborative development of software (e.g., GitHub)

Physical Demands

• Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type/Expected Hours of Work

• This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

Additional Comments

• **Please note, this opportunity offers relocation assistance**
• **Please note, this opportunity offers work visa sponsorship**

Annualized Salary Range

$82,650 - $110,200 *

• * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.

Benefits

Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

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