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Preclinical Neuroscience Jobs (NOW HIRING)

The preclinical research community at McLean offers basic, cell, molecular, and systems neuroscience approaches, complementing neuroimaging, translational and clinical neuroscience targeting a ...

New

The preclinical research community at McLean offers basic, cell, molecular, and systems neuroscience approaches, complementing neuroimaging, translational and clinical neuroscience targeting a ...

New

The preclinical research community at McLean offers basic, cell, molecular, and systems neuroscience approaches, complementing neuroimaging, translational and clinical neuroscience targeting a ...

Work in a highly productive research environment with ongoing studies including specimen banking and preclinical modeling. * Affiliate with the broader neuroscience community under the Friedman Brain ...

The AbbVie Neuroscience Discovery Research Translational Sciences Imaging group is advancing an ... The Molecular Imaging Scientist will lead and support preclinical PET imaging studies. This role ...

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Preclinical Neuroscience information

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$53K

$110.3K

$160.5K

How much do preclinical neuroscience jobs pay per year?

As of Aug 12, 2026, the average yearly pay for preclinical neuroscience in the United States is $110,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in preclinical neuroscience?

To thrive in Preclinical Neuroscience, you need a solid background in biology, neuroscience, or a related field, often with a relevant advanced degree. Familiarity with laboratory techniques (such as immunohistochemistry, microscopy, and animal models), data analysis software, and regulatory compliance (like IACUC training) is commonly required. Strong analytical thinking, attention to detail, and effective teamwork are crucial soft skills for this area of research. These competencies ensure rigorous experimental design, reliable data generation, and collaboration that advances scientific discovery.

What is the difference between Preclinical Neuroscience vs Neuroscientist?

AspectPreclinical NeuroscienceNeuroscientist
CredentialsBachelor's or Master's in Neuroscience, Biology, or related fields; lab experienceDoctoral degree (PhD) often required; postdoctoral research common
Work EnvironmentLaboratories, research facilities, pharmaceutical companiesAcademic institutions, research labs, industry settings
Industry UsageFocuses on early-stage research, drug development, and testingBroader research, teaching, and applied neuroscience roles

Preclinical Neuroscience roles typically involve laboratory research and drug testing in early-stage development, often requiring a bachelor's or master's degree. Neuroscientists usually hold a PhD and engage in broader research, teaching, or applied work. Both roles share lab environments but differ in experience level and scope of work.

What are common challenges faced by professionals working in preclinical neuroscience research?

Professionals in preclinical neuroscience often encounter challenges such as maintaining the reproducibility and reliability of experimental results, especially when working with animal models. They must also navigate complex regulatory requirements and ethical guidelines for animal care and use. Additionally, collaboration between multidisciplinary teams—including biologists, chemists, and data analysts—is crucial but can present communication hurdles. Staying updated with rapidly evolving technologies and methodologies is also essential for success in this field.

What is preclinical neuroscience?

Preclinical neuroscience is a field of research focused on understanding the nervous system and brain function using laboratory and animal studies before human clinical trials. Scientists in this area investigate the mechanisms underlying neurological and psychiatric diseases, and test new drugs, therapies, or interventions for safety and efficacy. These studies are crucial for identifying potential treatments and ensuring they are safe for further testing in humans.
More about Preclinical Neuroscience jobs
What cities are hiring for Preclinical Neuroscience jobs? Cities with the most Preclinical Neuroscience job openings:
What states have the most Preclinical Neuroscience jobs? States with the most job openings for Preclinical Neuroscience jobs include:
Infographic showing various Preclinical Neuroscience job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 82% Full Time, 14% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $110,332 per year, or $53 per hour.

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM • On-site

$4.8K - $6.9K/mo

Full-time

Medical, Dental, Vision, Life

Re-posted 7 days ago


University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

98th of 618 rated colleges and universities


Job description

Programmer Analyst 3
Requisition ID
req36315
Working Title
Neurosciences Data Specialist
Position Grade
14
Position Summary
This position is a term appointment ending 6/30/28, subject to availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.
The UNM Health Sciences Library & Informatics Center and School of Medicine's Department of Neuroscience are looking for someone innovative with experience in data curation and data science, who is excited to advance our understanding of the brain by building more robust data analytic pipelines.
The Department of Neurosciences works with numerous types of clinical and preclinical data, including: EEG, electrophysiology, microscopy, and OMICs datasets. The successful candidate will work closely with Neurosciences researchers to develop innovative solutions for research data management, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research.
Duties include:
  • Consults with and advises Department of Neurosciences researchers on preparing and managing data to meet regulatory and funder requirements for data sharing, research transparency, and rigor.
  • Assists in designing novel solutions for data curation, organization, and dissemination to support cutting-edge research.
  • Designs, develops, and maintains reproducible data workflows.
  • Develops data pipelines, scripts, and high-quality metadata to support research replication and transparency.
  • Addresses a variety of data integration issues including migration of data between disparate sources and conversion to neurosciences-specific data standards, such as those established by Neurodata Without Borders.
  • Provides support for version control through adoption of Git-based tools and code archiving.
  • Assists in migration of data to repositories, databases, and electronic lab notebooks.
  • Assists with utilization of LabArchives for organizing and sharing research data.
  • Supervises and trains up to six students in the management of research data and creation of reproducible data pipelines.
  • Collaborates with university IT to ensure that solutions meet local requirements for data security and privacy protections.

See the Position Description for additional information.
Conditions of Employment
  • Specialty licensure/certification may be required, as specified by the department.
  • Successful candidate may be subject to a criminal background check prior to starting work.

Minimum Qualifications
Bachelor's degree; at least 2 years of progressively responsible experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.
Preferred Qualifications
Minimum Qualifications:
  • Bachelor's degree in a relevant field; at least 2 years of progressively responsible experience directly related to the duties and responsibilities specified.
  • Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.

Preferred Qualifications:
  • Programming fluency in Python, R, SQL, and/or other programming language(s).
  • Experience with software version control and use of Git-based tools.
  • Experience with managing and curating large, complex datasets.
  • Excellent communication skills to collaborate across technical and non-technical teams.
  • Experience using electronic lab notebooks, such as LabArchives.
  • Experience working in a research or academic setting.
  • Experience supervising staff and/or students.

Additional Requirements
This position is a term appointment with an anticipated ending date of 6/30/28. Continuance beyond that date is subject to the availability of additional funding.
Campus
Health Sciences Center (HSC) - Albuquerque, NM
Department
HS Library and Informatics Center (AFB)
Employment Type
Staff
Staff Type
Term - Full-Time
Term End Date
6/30/2028
Status
Exempt
Pay
Monthly: $4,875.87 - $6,976.67
Benefits Eligible
This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.
ERB Statement
As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.
Background Check Required
Yes
For Best Consideration Date
4/28/2026
Eligible for Remote Work
Yes
Eligible for Remote Work Statement
This position requires frequent in-person work. A hybrid schedule of working 1-2 days per week at home may be considered after training and onboarding. Renewal of Term Appointments is not guaranteed; the remote work arrangement, operational, and business needs will be considered in determining whether to renew the Term Appointment.
Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Applicants are required to submit a current resume/CV, a cover letter outlining relevant qualifications, and a list of three professional references with contact information. Failure to submit all required materials will result in the candidate being removed from consideration.This position is a term appointment ending 6/30/28. Continuance beyond that date is subject to the availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.
Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.

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