Neurosciences Data Specialist (req36315)

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.