Home › Companies › Research Princeton Icims Com › Research Specialist I
Research Specialist I
Research Princeton Icims Com · Princeton, NJ, US · Active · $41,000–$60,000 / hour · iCIMS
Job facts
| Field | Value |
|---|---|
| Company | Research Princeton Icims Com |
| Title | Research Specialist I |
| Normalized title | - |
| Department / team | Research and Laboratory |
| Location | Princeton, NJ, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | $41,000–$60,000 / hour |
| Status | active |
| ATS provider | iCIMS |
| Posted / first seen | 2026-04-06 / 2026-05-31 |
| Changed / last seen | 2026-06-01 / 2026-06-06 |
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| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Research Princeton Icims Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through iCIMS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Princeton. | Open |
| Department jobs | Active postings in Research and Laboratory. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Research Princeton Icims Com |
| Source | b1eca8ef-b206-4c12-b622-c764b7c98c0d |
| ATS provider | iCIMS |
Description
Overview
A full-time research specialist position is available in the Neuroscience of Cognitive Control Laboratory led by Jonathan Cohen at the Princeton Neuroscience Institute and the Department of Psychology at Princeton University. Research in the lab focuses on the cognitive, computational and neural bases of cognitive control, using a combination of behavioral, neuroimaging, and AI modeling methods.The position provides an excellent opportunity to further develop research skills in computational modeling, cognitive psychology and human neuroscience. The successful applicant will be an energetic learner with strong programming abilities and an interest in the lab's research. For more information about the lab and its research interests, please see the website at https://ncclab.princeton.edu.
This is a one-year position with the possibility of renewal contingent upon continued grant funding and successful performance.
Responsibilities
- assisting with human behavioral experiments (in-person and online) and neuroimaging experiments ( including but not necessarily limited to fMRI and OPM-MEG methodologies). Must be willing and able to work within a large magnetic field in an MRI scanning environment (e.g., not have metal implants or other MRI safety preclusions)
- programming (depending on prior skills, this could include: modeling, data analysis, experimental protocols)
- general lab assistance (planning meetings, maintaining IRB protocols, assisting PI, etc.)
- maintenance of lab website, including database of publications
Qualifications
Essential Qualifications:
- Bachelor's degree in Psychology, Neuroscience, Computer Science or a closely related discipline- At least 1 year experience with human neuroscience research, using behavioral or neuroimaing methods- Current fluency with computer programming (ideally using Python)
Candidate must be willing and safely able to work within the large magnetic fields in our MRI facilities, as determined by Princeton's standard MRI safety screening criteria (e.g., must have no MR-unsafe metal implants in body, etc.)
Preferred Qualifications:
- website design, creation, and management- IRB protocol creation and management- statistical analysis- machine learning or AI programming
This position is subject to the University's background 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 Hours 36.25
Eligible for Overtime Yes
Benefits Eligible Yes
Probationary Period 90 days
Essential Services Personnel (see policy for detail) No
Physical Capacity Exam Required No
Valid Driver's License Required No
#LI-ZY1
Salary Range $41,000 to $60,000
Full job record
| Job ID | 560b1f42febf96bb3e793da4f2c9c9a39731aaff |
| Org ID | 50043369-cab8-47a2-ab27-b3dd5758491b |
| Source ID | b1eca8ef-b206-4c12-b622-c764b7c98c0d |
| Board ID | b1eca8ef-b206-4c12-b622-c764b7c98c0d |
| Provider | icims |
| Provider Job Key | 21679 |
| Title | Research Specialist I |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Princeton, NJ, US |
| Department | Research and Laboratory |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NJ |
| City | Princeton |
| Salary Raw | Overview A full-time research specialist position is available in the Neuroscience of Cognitive Control Laboratory led by Jonathan Cohen at the Princeton Neuroscience Institute and the Department of Psychology at Princeton University. Research in the lab focuses on the cognitive, computational and neural bases of cognitive control, using a combination of behavioral, neuroimaging, and AI modeling methods.The position provides an excellent opportunity to further develop research skills in computational modeling, cognitive psychology and human neuroscience. The successful applicant will be an energetic learner with strong programming abilities and an interest in the lab's research. For more information about the lab and its research interests, please see the website at https://ncclab.princeton.edu. This is a one-year position with the possibility of renewal contingent upon continued grant funding and successful performance. Responsibilities - assisting with human behavioral experiments (in-person and online) and neuroimaging experiments ( including but not necessarily limited to fMRI and OPM-MEG methodologies). Must be willing and able to work within a large magnetic field in an MRI scanning environment (e.g., not have metal implants or other MRI safety preclusions) - programming (depending on prior skills, this could include: modeling, data analysis, experimental protocols) - general lab assistance (planning meetings, maintaining IRB protocols, assisting PI, etc.) - maintenance of lab website, including database of publications Qualifications Essential Qualifications: - Bachelor's degree in Psychology, Neuroscience, Computer Science or a closely related discipline- At least 1 year experience with human neuroscience research, using behavioral or neuroimaing methods- Current fluency with computer programming (ideally using Python) Candidate must be willing and safely able to work within the large magnetic fields in our MRI facilities, as determined by Princeton's standard MRI safety screening criteria (e.g., must have no MR-unsafe metal implants in body, etc.) Preferred Qualifications: - website design, creation, and management- IRB protocol creation and management- statistical analysis- machine learning or AI programming This position is subject to the University's background 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 Hours 36.25 Eligible for Overtime Yes Benefits Eligible Yes Probationary Period 90 days Essential Services Personnel (see policy for detail) No Physical Capacity Exam Required No Valid Driver's License Required No #LI-ZY1 Salary Range $41,000 to $60,000 |
| Salary Min | 41,000 |
| Salary Max | 60,000 |
| Salary Currency | USD |
| Salary Period | hour |
| Source URL | https://research-princeton.icims.com/jobs/21679/research-specialist-i/job |
| Apply URL | https://research-princeton.icims.com/jobs/21679/research-specialist-i/job |
| First Seen At | 2026-05-31 18:45:44Z |
| Last Seen At | 2026-06-06 08:31:49Z |
| Last Checked At | 2026-06-06 08:31:49Z |
| Last Changed At | 2026-06-01 14:03:25Z |
| Inactive At | — |
| Source Posted At | 2026-04-06 04:00:00Z |
| Source Updated At | 2026-05-20 16:27:35Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=icims/board=research-princeton.icims.com/date=2026-06-06/2026-06-06T08-31-48-598Z-bcbf37c13a231b318d9fd4351e6b1b45dfbb15a29440ad5afd84f1abe769243e.json |
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