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Parttime Data Science Jobs in New Mexico (NOW HIRING)

University of New Mexico

Lab Aide

Albuquerque, NM · On-site

$15/hr

Familiarity to process biochemical data using scientific software (e.g., Word, Powerpoint, Prism ... Type Term - Part-Time Term End Date 02/01/2026 Status Non-Exempt Pay Hourly: $15.00 Benefits ...

University of New Mexico

HS Research Tech 1

Albuquerque, NM · On-site

$18.09 - $23.27/hr

  • Medical

  • Dental

  • Vision

  • Life

... health sciences laboratory, clinical, and/or field research protocol. Collects, processes, and ... Performs preliminary data manipulation and assists in the execution of standard research protocol ...

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Parttime Data Science information

What is the difference between Parttime Data Science vs Parttime Data Analyst?

AspectParttime Data ScienceParttime Data Analyst
Required SkillsStatistical analysis, programming (Python/R), machine learningData visualization, basic statistics, Excel, SQL
Work EnvironmentTech companies, startups, research projectsBusiness, marketing, finance departments
Common CertificationsCertified Data Scientist, Python certificationsMicrosoft Excel, SQL certifications

Parttime Data Science roles typically require advanced skills in programming and machine learning, often found in tech or research settings. In contrast, Parttime Data Analyst positions focus on data visualization and basic analysis, suitable for business or marketing environments. Both roles are popular in various industries, but Data Science generally demands more technical credentials and programming expertise.

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Lab Aide

University of New Mexico

Albuquerque, NM • On-site

$15/hr

Part-time

Re-posted 17 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

99th of 619 rated colleges and universities

Job description

Lab Aide
Requisition ID
req34344
Working Title
Lab Aide
Position Grade
05
Position Summary
We are seeking ahighly motivated laboratory aide who will participate in biological assays performed in the laboratory that will analyzeprotein and mRNA levels from tissue samples collected from previously performedexperiments. The candidate will work in the lab under general supervision toperform total protein content, protein levels of keys targets, RNA extraction,and quantitative PCR. We are also looking for an individual who has experienceanalyzing mouse behavior in the 'Open Field Chamber' and the 'Elevated PlusMaze'. The research focuses on the effects of prenatal alcohol exposure inmouse offspring and neuroimmune interactions with the hypothalamic pituitaryadrenal axis function.
The position requires the collection,compilation and statistical analyses of data, and a excellent organizationalskills. Research is conducted in a neuroscience research laboratory on mousebehavior, and the researcher will prepare data, samples, and/or specimens.
See the Position Description for additional information.
Conditions of Employment
  • Successful candidate must submit to post-offer, pre-employment physical examination and medical history check.
  • Must be at least 18 years of age at date of hire.
  • Employees who provide services or work in patient care or clinical areas are required to be in compliance with the University's influenza vaccination requirement.

Minimum Qualifications
Successful completion of junior or senior year of high school; no previous experience required.
Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.
Preferred Qualifications
  • Bachelor's Degree in a field related to biology and/or biochemistry
  • Experience in pipetting
  • Basic understanding of scientific methodology
  • Interest in learning or the ability to run and troubleshoot protein assays
  • Interest in learning laboratory management
  • Available to work on Saturdays and Sundays as needed
  • Familiarity to process biochemical data using scientific software (e.g., Word, Powerpoint, Prism, SPSS & Excel)
  • Comfort working with miceand careful evaluation of mouse behaviors

Additional Requirements
Campus
Health Sciences Center (HSC) - Albuquerque, NM
Department
Neurosciences (993A)
Employment Type
Staff
Staff Type
Term - Part-Time
Term End Date
02/01/2026
Status
Non-Exempt
Pay
Hourly: $15.00
Benefits Eligible
This is not a benefits eligible position.
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
Eligible for Remote Work
No
Eligible for Remote Work Statement
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.
Please upload current CV.
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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