Community Manager & Staff Scientist, Flywire

Employer
Princeton University
Location
Nassau Hall

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Institutional & Business Affairs, Communications & Marketing
Employment Type
Full Time
Institution Type
Four-Year Institution

Job Details

Overview

Community Manager and Staff Scientist, FlyWire

 

The Princeton Neuroscience Institute is a premiere research institute within Princeton University’s campus, dedicated to solving problems at the forefront of neuroscience. Faculty members, research staff, postdoctoral fellows, and graduate students work together in a collaborative and creative environment, reflecting Princeton’s reputation for excellence.

 

FlyWire (FlyWire.ai) is an open-science project launched by the Murthy and Seung labs in the Princeton Neuroscience Institute - the goal of FlyWire is to generate and disseminate high-quality whole brain and whole nervous system wiring diagrams (connectomes) for the fruit fly Drosophila. Flies are an important model system for neuroscience research yet the field lacks complete wiring diagrams of their brains. Generating this resource requires state-of-the-art AI technology and infrastructure developed in the Murthy and Seung labs, along with a novel crowdsourcing approach. See https://seunglab.org and https://murthylab.princeton.edu. 

Responsibilities

As FlyWire Community Manager and Staff Scientist you will assist with organizing the community of scientists working in FlyWire towards generating whole brain wiring diagrams, will write and maintain website content and training material, will recruit and train new users, will spearhead hack-a-thons and drives for new data analysis tools within FlyWire, will run workshops and support and promote the resource, and will coordinate access to trained proofreaders of the dataset (tracers). You will interact with the advisory board and take a leadership role on data sharing. You would also assist with tool development for FlyWire and would work closely with both Profs. Murthy and Seung and members of their research groups on independent research projects leveraging these wiring diagrams. This is an exciting position for a highly motivated individual who excels at data analysis and wants the opportunity to do large-scale, interactive team science and outreach

Qualifications

Essential Qualifications

Advanced degree (MS or PhD) in science or engineering

Programming and data analysis expertise (Python programming expertise)

Ability to work well with teams of researchers

Excellent communication skills and ability to comfortably and confidently communicate with scientists at all levels

Ability to excel in dynamic working environments and adapt to changing priorities.

Enthusiasm for using computational approaches to discover biological insights

Enthusiasm for science outreach and dissemination of technology

Ability to work independently, with minimal oversight, as well as collaboratively with people inside and outside of the team.

Excellent  time management and organizational skills, with keen attention to detail, accuracy and follow-through.

Demonstrated enthusiasm for challenging problems and innovative solutions.

 

Preferred Qualifications

Experience working on analysis of large datasets

Advanced knowledge of machine learning, data structures, and algorithms

Prior outreach experiences 

 

Compensation and Benefits

Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit Benefits at Princeton (https://hr.princeton.edu/thrive/health) to learn more.

 

The term of this position is two years with the possibility of renewal based on performance and funding.

ABOUT US

 

The laboratories of Sebastian Seung and Mala Murthy are at the Princeton Neuroscience Institute of Princeton University, plus the Seung lab has an additional team in Boston, MA. 

The Seung Lab’s recent work includes cutting edge use of machine learning to map neural circuitry, and the creation of the world's first and largest citizen neuroscience game, “Eyewire”.  Since Eyewire was launched in 2012, 200,000 players from 150 countries have helped reconstruct neural connections. It has been covered by WIRED, NPR, and the New York Times Magazine, has appeared on the front page of Reddit, and is a favorite of Facebook's IFLS. In 2014, EyeWire published its first discovery in Nature magazine.  Sebastian Seung’s TED Talk in 2010 explained the importance of deciphering the wiring diagrams of brain circuits.

The Murthy Lab studies the brains of fruit flies to discover fundamental principles regarding how the nervous system processes sensory cues, makes decisions, learns, and drives behaviors. The lab’s work has led to important discoveries into how these processes contribute to social communication.

These two labs have now teamed up to develop FlyWire, the next generation of an Eyewire-like application, using deep learning algorithms to help neuroscientists decipher the wiring of the fruit fly brain.

Joining these labs will immerse you in the intellectual environment of the Princeton Neuroscience Institute. You’ll get to work with a great group of people in Princeton and beyond, choose your own hours, and have the opportunity to work on a project that could change the future of neuroscience.

 

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

Standard Weekly Hours36.25Eligible for OvertimeNoBenefits EligibleYesProbationary Period180 daysEssential Services Personnel (see policy for detail)NoEstimated Appointment End Date6/1/2024Physical Capacity Exam RequiredNoValid Driver's License RequiredNo#LI-GR1

Organization

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