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Connectomics Jobs (NOW HIRING)

$78 - $98/hr

Drosophila*, combining electrophysiology and optical physiology in behaving flies with brain-wide 'connectomics' and computational modeling. The goal is a mechanistic understanding of how flies use ...

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Connectomics information

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.

What are the key skills and qualifications needed to thrive as a connectomics researcher?

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 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 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.

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 August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Physical job distribution.

University of Puerto Rico: Assistant Professor

Society for Integrative & Comparative Biology

San Juan, PR • On-site

$80 - $120/hr

Other

Posted 17 days ago


Job description

UNIVERSITY OF PUERTO RICO, MEDICAL SCIENCES CAMPUS DEANSHIP OF ACADEMIC AFFAIRS FACULTY APPOINTMENT TITLE: ASSISTANT PROFESSOR TYPE OF APPOINTMENT: PROBATIONARY WITH OPTION FOR TENURE WORK LOCATION: MEDICAL SCIENCES CAMPUS, UNIVERSITY OF PUERTO RICO DATE OF ISSUANCE: APRIL 13, 2026 LAST DAY TO APPLY: APRIL 30, 2026 (REVIEW OF APPLICATIONS WILL BEGIN ON APRIL 30, 2026 AND WILL CONTINUE UNTIL RECRUITMENT FOR THIS FACULTY POSITION IS COMPLETED) WHO QUALIFIES: All candidates who meet the position requirements Neuroscience / Computational Neuroscience – Institute of Neurobiology

The Institute of Neurobiology of the University of Puerto Rico Medical Sciences Campus invites applications for one tenure‑track faculty position at the Assistant Professor level. We seek a creative, collaborative investigator with research interests in neuroscience, neurophysiology, or computational neuroscience, preferably using invertebrate models or non‑model systems.

Candidates must hold a doctoral degree from an accredited institution, have completed at least two years of postdoctoral training, and demonstrate research productivity appropriate to their career stage. The successful applicant will be expected to develop and sustain an active, externally fundable research program, participate in the training of graduate students and postdoctoral associates, and contribute to the academic mission of the Institute. Opportunities for joint appointment in an appropriate department of the School of Medicine are available and eligibility for them will be expected.

Applicants should be aware that the Institute of Neurobiology is currently operating under transitional conditions. The Institute building is closed while major repairs are undertaken, and a reopening date has not yet been determined. During this period, Institute investigators have been relocated to the main campus, where research activities continue. The selected candidate will therefore begin the appointment in shared laboratory space hosted by an existing investigator, within a collaborative research environment.

The institution will provide full salary support for this position. At present, a tax‑free program enables researchers to receive institutional incentives of up to 100% of their salary, based upon successful competitive funding. However, dedicated independent laboratory space and start‑up funds are not currently available. Accordingly, this opportunity may be especially well suited for candidates with a strong collaborative orientation, an adaptable research program, and/or access to existing collaborations or non‑recurrent sources of support that would facilitate the continuation or expansion of their work in this setting. Candidates with collaborative contacts in the continental United States and/or abroad are particularly encouraged to apply.

In addition to research excellence, we are especially interested in applicants that can complement existing strengths in behavior, connectomics, physiology, molecular genetics, and imaging, and who have experience or are willing to receive training in AI and machine learning, and are suited and willing to contribute to the development of an academic and/or training program in computational neuroscience at the University of Puerto Rico Medical Sciences Campus.

Because of institutional timelines, the position must be filled before June 30, 2026. For full consideration, applications should be received by April 30, 2026.

Applicants should submit a single PDF containing the following: curriculum vitae, statement of research interests, brief plan for obtaining extramural funding, names and contact information of three referees, and reprints of two significant publications.

Yasmín Pedrogo, MD, FAAP, MSc MEdL Dean of Academic Affairs Medical Sciences Campus University of Puerto Rico

The Medical Sciences Campus of the University of Puerto Rico is an Equal Employment Opportunity employer and does not discriminate on the basis of sex, race, color, age, national origin, political or religious beliefs, gender, sexual orientation, ethnic origin, or for being a victim or being perceived as a victim of domestic violence, sexual assault, or stalking, or for being a member of the military, a veteran, serving or having served in the United States Armed Forces, or for having veteran status, disability, or any other category protected by law.

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