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Connectomics Jobs (NOW HIRING)

Research in the lab employs state-of-the-art neuroscience approaches, including quantitative behavior analyses, computational modeling, neural recordings, connectomics, molecular biology, and genetic ...

Research Specialist

Princeton, NJ · On-site

$41K - $60K/yr

Research in the lab employs state-of-the-art neuroscience approaches, including quantitative behavior analyses, computational modeling, neural recordings, connectomics, molecular biology, and genetic ...

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Connectomics information

What is the difference between Connectomics vs Neuroimaging Technician?

AspectConnectomicsNeuroimaging Technician
Required CredentialsNeuroanatomy, neuroscience, advanced imaging techniquesRadiologic technology, certification in neuroimaging
Work EnvironmentResearch labs, neuroscience institutesHospitals, imaging centers
Industry UsageAcademic research, neuroscience projectsMedical diagnostics, patient imaging

Connectomics focuses on mapping neural connections in the brain using advanced imaging and data analysis, often within research settings. Neuroimaging Technicians operate imaging equipment like MRI or CT scanners to produce brain images for clinical or research purposes. While both roles involve brain imaging, connectomics emphasizes neural network mapping, whereas neuroimaging technicians focus on image acquisition and processing for diagnosis or research.

What are some common challenges faced by professionals working in connectomics research, and how can they be addressed?

Professionals in connectomics often encounter challenges such as handling massive datasets, integrating multidisciplinary knowledge, and managing the complexity of high-resolution brain imaging. Collaborating closely with computational scientists, neuroscientists, and data engineers is crucial for overcoming technical and analytical hurdles. Staying current with advancements in imaging technologies and data analysis tools, as well as participating in collaborative research teams, can help address these challenges and foster growth in the role.

What are the key skills and qualifications needed to thrive as a Connectomics Researcher, and why are they important?

To thrive as a Connectomics Researcher, you need a background in neuroscience, computational biology, and data analysis, often supported by an advanced degree in neuroscience or a related field. Familiarity with imaging technologies (such as MRI, electron microscopy), programming languages (like Python or MATLAB), and data visualization tools is typically required. Strong analytical thinking, attention to detail, and collaborative skills help drive progress in this multidisciplinary field. These competencies are essential for accurately mapping neural connections and advancing our understanding of brain structure and function.

What is connectomics?

Connectomics is the scientific study of the brain's wiring diagram, mapping the complex network of neural connections within the nervous system. Researchers in this field use advanced imaging technologies and computational methods to create detailed maps, or 'connectomes,' that show how neurons and brain regions are interconnected. Understanding these connections helps scientists uncover how the brain processes information, supports behavior, and is affected by diseases. Connectomics is a multidisciplinary field, involving neuroscience, computer science, and engineering, and it plays a crucial role in advancing our knowledge of brain function and disorders.
More about Connectomics jobs
What cities are hiring for Connectomics jobs? Cities with the most Connectomics job openings:
What states have the most Connectomics jobs? States with the most job openings for Connectomics jobs include:
Infographic showing various Connectomics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, and 8% Remote job distribution.
Research Specialist

$41K - $60K/yr

Full-time

Posted 6 days ago


Princeton University rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

23rd of 560 rated colleges and universities


Job description

Overview

Princeton University's Neuroscience Institute seeks applicants for a Research Assistant position in a premiere research laboratory whose work focuses on neural circuits for social communication and sensorimotor integration using the fruit fly Drosophila as a model system (see murthylab.princeton.edu). Research in the lab employs state-of-the-art neuroscience approaches, including quantitative behavior analyses, computational modeling, neural recordings, connectomics, molecular biology, and genetic tools. We are looking for an enthusiastic and hard-working individual who has a willingness to learn and acquire new skills (and a demonstrated track record in learning new techniques). The RA will work with lab members on conducting behavioral and neural imaging experiments, and on analyzing experimental data. Prior experience with Drosophila and/or neuroscience is strongly preferred.

This is a one-year term position with the possibility of renewal contingent upon successful performance and funding.

Responsibilities

Assist postdoctoral fellows and graduate students on behavioral and calcium imaging experiments related to the neural basis of sensorimotor behaviors in Drosophila. These experiments will seek to validate hypotheses generated from the recently completed fly whole-brain connectome. Apply scientific and technical knowledge to lab research projects, conduct rigorous data analysis, contribute results and scientific writing.

Qualifications

Essential

  • Bachelors degree in Neuroscience, Biology or related field.
  • Prior experience working in a research lab at a University or Medical School.
  • Excellent organizational skills , attention to detail, and ability to work well with others.
  • Outstanding references.
  • This position is subject to the University's background check policy.

Preferred

  • Experience working with Drosophila
  • Prior neuroscience research experience
  • Programming & computational data analysis experience

This position is subject to the University's background check policy.

Princeton University is an Equal Opportunity 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.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

Standard Weekly Hours36.25Eligible for OvertimeYesBenefits EligibleYesProbationary Period90 daysEssential Services Personnel (see policy for detail)NoPhysical Capacity Exam RequiredNoValid Driver's License RequiredNo#LI-ZY1Salary Range$41,000 to $60,000Employment Type: FULL_TIME

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