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

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... data analytics, and research methodology * Collaborate with researchers from diverse scientific ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... data analytics, and research methodology * Collaborate with researchers from diverse scientific ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... data analytics, and research methodology * Collaborate with researchers from diverse scientific ...

HS Research Assistant

Albuquerque, NM · On-site

$18.75 - $25.75/hr

Support trainees/students (undergrad, PhD, MD students and post-doc) in ongoing research projects ... data analytics, and research methodology * Collaborate with researchers from diverse scientific ...

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Showing results 1-20

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.

Full-time

Re-posted 13 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

Dr. Singh's lab at Department of Ophthalmology and VisualSciences at University of New Mexico Health Sciences Center is looking for aResearch Scientist 1. Dr. Singh's lab focuses ondecoding the epigenetic basis of ocular & metastatic cancers, dryage-related macular degeneration (dAMD) and defining the molecular mechanismsdriving the chronic inflammation associated states. This is a uniqueopportunity to be part of cutting-edge biomedical research with direct impacton future diagnostics and therapeutics.

The Research Scientist will help to oversee retinalorganoid maintenance and experiments, decode microglia associated inflammationgene regulatory networks and also be involved in Uveal Melanoma metastasisassociated projects. The Research Scientist will assist in various co-culture experiments, single-cell multi-omics experiments,big data analysis, flow cytometry, immuno-microscopy, molecular biologyexperiments and manuscript preparation. TheResearch Scientist will perform routine scientific research tasks; animal researchwork; maintain accurate experiment/samples/researchdatabases; develop & utilize established protocols; plan, design, conduct,process & lead scientific experiments; ensure data integrity, qualitycontrol, and protocol compliance; developing recruitment and retentionstrategies etc. This position will also communicate research findings to thescientific community in peer-reviewed journal articles. This position will alsocontribute to the preparation of grants, literature reviews andcontract proposals. This position will also support trainees/students(undergrad, PhD, MD students and post-doc) in ongoing research projects focusedon uveal melanoma, cancer epigenetics, and AMD etc.
Excellent verbal and written communication skills areessential to this position. Experience with regulatory processes such as IRBsubmissions, organizing, sorting, and analyzing data is preferred.


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