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Data Scientist Trainee Jobs in Rio Rancho, NM (NOW HIRING)

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Data Scientist Trainee information

See Rio Rancho, NM salary details

$35.3K

$115.4K

$184.8K

How much do data scientist trainee jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data scientist trainee in Rio Rancho, NM is $115,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $127,900.00 per year, depending on experience, location, and employer.

What is a data scientist trainee?

A Data Scientist Trainee is an entry-level role designed for individuals looking to gain hands-on experience in data science. Trainees typically work under the guidance of senior data scientists, assisting with data collection, cleaning, analysis, and model development. They may use programming languages like Python or R, as well as tools like SQL and machine learning frameworks. This role helps build foundational knowledge in data science principles, statistical analysis, and data visualization. It is ideal for recent graduates or career switchers who want to develop practical skills before transitioning into a full-time data science role.

What are the typical responsibilities of a data scientist trainee?

As a Data Scientist Trainee, you will often assist with cleaning and organizing large datasets, performing exploratory data analysis, and developing basic predictive models under the guidance of more experienced team members. You may also help create data visualizations, build dashboards, or automate simple data processing tasks. Collaboration is key, as you’ll regularly work with senior data scientists, business analysts, and sometimes cross-functional teams to support ongoing projects and learn industry best practices. This role provides a valuable hands-on foundation, helping you build the technical and analytical skills necessary for future advancement in the field.

What are the key skills and qualifications needed to thrive as a data scientist trainee?

To thrive as a Data Scientist Trainee, you need a solid understanding of statistics, data analysis, and programming (preferably in Python or R), often supported by a degree in a quantitative field. Familiarity with tools like SQL, Jupyter notebooks, data visualization libraries, and entry-level certifications such as IBM Data Science Professional Certificate can be highly beneficial. Attention to detail, problem-solving ability, and a willingness to learn and collaborate help distinguish strong candidates in this role. These qualifications and competencies enable trainees to effectively support data projects, extract meaningful insights, and smoothly develop into more advanced data science positions.

Can I get a data scientist trainee job with no experience?

Data scientist trainee positions often target candidates with limited experience and focus on training and skill development. Having foundational knowledge in programming, statistics, and data analysis tools like Python or R can improve your chances, but some companies offer entry-level programs for beginners. Demonstrating a strong interest in data science through coursework, projects, or certifications can also be beneficial.

How to start a career in data scientist trainee with no experience?

To start a career as a data scientist trainee with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can improve your prospects; obtaining relevant certifications can also enhance your resume.

What does a data scientist trainee do?

A data scientist trainee assists in analyzing data, developing models, and interpreting results under the supervision of experienced data scientists. They often learn programming languages like Python or R, work with data visualization tools, and gain practical experience in data cleaning, statistical analysis, and machine learning techniques.

What are the most commonly searched types of Data Scientist jobs in Rio Rancho, NM?

The most popular types of Data Scientist jobs in Rio Rancho, NM are:

What are popular job titles related to Data Scientist Trainee jobs in Rio Rancho, NM?

For Data Scientist Trainee jobs in Rio Rancho, NM, the most frequently searched job titles are:

What job categories do people searching Data Scientist Trainee jobs in Rio Rancho, NM look for?

The top searched job categories for Data Scientist Trainee jobs in Rio Rancho, NM are:

Infographic showing various Data Scientist Trainee job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,448 per year, or $55.5 per hour.

HS Research Splst

University of New Mexico

Albuquerque, NM • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 9 days ago


University Of New Mexico rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

128th of 621 rated colleges and universities


Job description

HS Research Splst
Requisition ID
req37276
Working Title
HS Research Splst
Position Grade
11
Position Summary
UNM HSC Research Specialist (grade 11)
Center for Brain Recovery and Repair Preclinical Core
Position Summary:
Funding available through 6/30/2027. Continuation beyond that date is subject to the Preclinical Core's needs and funding.
The Preclinical Core is seeking a highly motivated and experienced Research Specialist to support advanced laboratory research initiatives within the health sciences. The successful candidate will independently coordinate complex research activities, contribute to experimental design and implementation, perform advanced data acquisition and analysis, and assist in the interpretation and reporting of research findings.
This position requires strong technical expertise, independent problem-solving skills, and the ability to manage multiple aspects of research projects while maintaining rigorous standards for quality control, documentation, and safety. The individual will work closely with faculty investigators, research staff, trainees, and collaborators to execute innovative research.
Key Responsibilities
  • Independently perform complex laboratory, clinical, and/or field research activities following established protocols and research objectives.
  • Design, implement, optimize, and troubleshoot experimental procedures, methodologies, and research workflows.
  • Conduct advanced data acquisition, processing, manipulation, reduction, and analysis within a specialized area of health sciences research.
  • Compile, analyze, and interpret experimental results while ensuring accuracy, reproducibility, and compliance with research protocols.
  • Utilize advanced statistical, computational, and scientific software tools to analyze research data and generate reports.
  • Contribute to experimental design, protocol development, and refinement of research methodologies.
  • Evaluate and modify equipment, instrumentation, and procedures to meet project-specific research needs.
  • Identify opportunities to improve experimental approaches, data quality, and interpretation of results.
  • Prepare summaries, presentations, technical reports, and other research documentation.
  • Provide technical guidance, training, and oversight to students, interns, residents, visiting researchers, and junior laboratory personnel.
  • Maintain compliance with laboratory safety procedures, environmental regulations, and institutional research standards.
  • Perform additional research-related duties as assigned.
  • Monitor iLabs scheduling and help user establish Memos of Understandings with the Core facility
  • Help users with quality control of behavioral experiments and histology

Knowledge, Skills, and Abilities
Successful candidates should demonstrate:
  • Ability to independently develop, execute, and troubleshoot research protocols.
  • Advanced understanding of experimental methods and scientific principles within a relevant research area.
  • Strong analytical skills with the ability to interpret complex datasets and identify meaningful findings.
  • Knowledge of statistical analysis methods and scientific computing tools.
  • Ability to adapt procedures, equipment, and workflows to address evolving research needs.
  • Strong organizational skills and attention to detail.
  • Ability to work collaboratively within an interdisciplinary research team.
  • Excellent written and verbal communication skills.

See the Position Description for additional information.
Conditions of Employment
  • For individual positions in which driving is a job requirement, a valid NM driver's license and valid UNM driver's permit will be required.
  • Successful candidate must submit to post-offer, pre-employment physical examination and medical history check.
  • 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
High school diploma or GED; at least 7 years of experience directly related to the duties and responsibilities specified.
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, Master's, or advanced degree in a relevant scientific discipline (e.g., neuroscience, biology, biomedical sciences, health sciences, engineering, or related field).
  • Experience with rodent research methodologies including cardiac perfusions, brain extractions, and histological staining.
  • Experience with rodent handling, behavioral experiments, animal tracking, and
  • Experience with equipment monitoring and maintenance.
  • Experience analyzing complex datasets using statistical and scientific software.
  • Experience mentoring or training students and junior research personnel.
  • Experience working in an academic research environment.
  • Familiar with IACUC protocols, both writing and maintaining.

Additional Requirements
Campus
Health Sciences Center (HSC) - Albuquerque, NM
Department
Neurosciences (993A)
Employment Type
Staff
Staff Type
Term - Full-Time
Term End Date
06/30/2027
Status
Exempt
Pay
Monthly: $3,841.07 - $5,148.00; Depending on education and experience
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
8/14/2026
Eligible for Hiring Incentive
No
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.
Provide a resume and cover letter detailing your interest and suitability for the advertised position.
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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