Scientist I – Shanahan Foundation Fellowship at the Interface of Data and Neuroscience

The mission of the AllenInstitute is to understand the principles that govern life and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world.

The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center). This three-year data science fellowship program has the following five aims:

• Integrate Data Scientists into Neuroscience Research – The Fellowship will serve to promote the entry of data scientists, with a Ph.D. (or equivalent) in a quantitative field such as computer science, electrical engineering, physics, or mathematics with a background in statistical, computational and machine learning methods, into the field of neuroscience.
• Challenge Traditional Approaches to Neuroscience – Fellows are encouraged to develop novel research programs which push the boundaries of both data and neuroscience. Fellows will have independence in selection and focus of research direction with the Allen Institute and University of Washington throughout their fellowship term.
• Provide Multidisciplinary, Multi-organizational Co-Mentorship – Each fellow will be matched with two mentors (one from the Allen Institute and one from University of Washington).
• Network and Community Building – The Allen Institute and UW will facilitate the growth of fellows’ scientific and professional networks with ongoing opportunities to meet and interact with peers and established scientists.
• Career Development – First-year fellows will take the Allen Institute’s Summer Workshop on the Dynamic Brain course and serve as teaching assistants for the course in their second year. It is expected that fellows will present their research at relevant professional gatherings, such as the annual Neural Computation and Engineering Connection event, Cosyne, NeurIPS (formerly NIPS), and the Society for Neuroscience conference.
  
  

Working with mentors from the Allen Institute and the University of Washington, the Scientist I will design and carry out a project focused on quantitative analysis of neuroscience data available through the Allen Institute’s vast data banks – ranging from molecular, genomic, transcriptional, physiological, morphological, anatomical and functional whole-brain level in mice, non-human primates and humans or through analysis of data generated by ongoing laboratory work.

Learn more here: https://alleninstitute.org/careers/internships-and-postbac/shanahan-foundation-fellowship/

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

• Gain familiarity with Institute neuroscience data sets, projects, and scientific leaders and select a mentor at the Allen Institute
• Build relationships within eScience, Computational Neuroscience Center, and Applied Math at the University of Washington and select a co-mentor for your fellowship research program
• Develop a novel research program around Allen Institute existing data resources or ongoing projects which pushes the boundaries of both data and neuroscience
• Bring cutting edge data science approaches (statistical, computational and machine learning) to bear on complex neuroscience problems to advance our understanding of the mammalian brain
• Participate in the Summer Workshop on the Dynamic Brain and, subsequently, serve as a teaching assistant for the course in a future year
• Mentor a postbaccalaureate or undergraduate research assistant in applying computational approaches to neuroscience questions
• Publish findings in peer-reviewed journals and present at scientific conferences
  
  

*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

• Ph.D. in a quantitative field such as computer science, electrical engineering, physics, mathematics, or biology
  
  

Preferred Education And Experience

• Ph.D. should have been awarded in the last 3 years
• Strong background in statistical, computational, machine learning methods, and/or other data science methods
• Strong publication record in high impact journals
• Proven track record of academic excellence and independent thinking
• Strong written and verbal communication skills
  
  

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

• $90,900 - $112,400
  
  

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.