Connectionists: Scientist/Postdoc in Computational Neuroscience at Allen Institute

[Uygar Sumbul]

POSITION SUMMARY:

The mission of the AllenInstitute 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 Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.

This scientist will work with the Institute’s quantitative and experimental scientists on high-priority problems involving machine learning that include (i) developing novel models to analyze multimodal characterizations of neurons, (ii) developing novel models to analyze time-resolved datasets, including omic studies of development and disease progression, and studies involving population activity recordings, (iii) applying the proposed models to the large datasets produced at the Institute to uncover new biological insights, and contribute to Institute-wide goals.

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 novel algorithms to analyze multimodal and time-resolved datasets
  *   Participate in team efforts to improve our understanding of brain organization and function at the cell type level
  *   Work closely with anatomical/spatial datasets and analysis pipelines
  *   Participate in a highly interactive and multidisciplinary environment
  *   Publish/present findings in peer-reviewed journals/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:

  *   PhD in Computational Neuroscience, Computer Science, Physics, Mathematics, Applied Mathematics, Engineering, or related field; or equivalent combination of degree and experience
  *   Strong work background in scientific computing

PREFERRED EDUCATION AND EXPERIENCE:

  *   Experience with Bayesian approaches and neural networks
  *   Experience with cloud computing environments
  *   Experience with computational neuroscience
  *   Ability to work in a collaborative environment
  *   Proven independent thinking

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 working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis

TRAVEL:

  *   Occasional attendance and participation in national and international conferences required

ADDITIONAL COMMENTS:

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

ANNUALIZED SALARY RANGE:

$75,003 - $105,004 *
* 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.


To apply please visit

https://alleninstitute.org/careers/?jobId=17b1d171-bc45-7660-fe67-e7888bd7a81b#actively-seeking-passionate-people-6


Uygar Sümbül

Associate Investigator

Allen Institute for Brain Science





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