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R Programming Language Jobs in New Mexico (NOW HIRING)

Pae

WIDS Specialist Level II

Las Cruces, NM · On-site

Support M&R activities and wireless incident investigations. * Generate site-level operational ... Coordinate with Government stakeholders and engineering teams to resolve wireless security issues.

SCEYE INC

Data Analyst

Moriarty, NM · On-site

Proficiency in SQL and at least one analysis/scripting language such as Python or R. * Experience ... Familiarity with aerospace, engineering, or manufacturing data environments. * Experience with data ...

PNM Resources

Gen AI Technologist Lead

Albuquerque, NM · On-site

$128K - $161K/yr

Skills in programming languages like Python, R, SQL or Java. Experience with large language Models (LLM), natural language processing (NLP) and computer vision will be a plus. CERTIFICATES, LICENSES ...

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R Programming Language information

See New Mexico salary details

$77.5K

$120.2K

$146.3K

How much do r programming language jobs pay per year?

As of Aug 22, 2026, the average yearly pay for r programming language in New Mexico is $120,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $135,200.00 per year, depending on experience, location, and employer.

What is an R programming language?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R programming language position?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most common challenges faced by R programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What job categories do people searching R Programming Language jobs in New Mexico look for?

The top searched job categories for R Programming Language jobs in New Mexico are:

What cities in New Mexico are hiring for R Programming Language jobs?

Cities in New Mexico with the most R Programming Language job openings:

R Programming Language jobs near you
Infographic showing various R Programming Language job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 2% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $120,165 per year, or $57.8 per hour.

AI Research Post Doctoral Fellow

University of New Mexico

Albuquerque, NM

$47K - $64K/yr

Full-time

Posted 10 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

The University of New Mexico's Center for Advanced Research Computing (CARC), within the Department of Computer Science, seeks a full-time Postdoctoral Researcher to lead development of an open-source agentic artificial intelligence platform as part of a federally funded, multi-institution research initiative. The Postdoctoral Researcher will design and build the project's agentic AI stack-open-weight large language models served at scale, retrieval-augmented generation (RAG) pipelines, a Model Context Protocol (MCP) server framework, sandboxed execution, and multi-agent orchestration-and will direct a distributed engineering effort spanning the collaborating institutions. The position is supervised by and co-located with the Principal Investigator at CARC, with secondary mentorship from collaborating co-investigators at partner institutions. All work follows open-source, reproducible-research practice. 

Primary Duties and Responsibilities 

  1. Leads the design, development, and evaluation of the project's agentic AI platform, including the serving of open-weight large language models (e.g., vLLM-served models), retrieval-augmented generation pipelines, the Model Context Protocol (MCP) server framework, sandboxed code execution, and multi-agent orchestration.
  2. Directs and coordinates a distributed engineering effort, leading regular technical meetings with the partner-institution team and graduate research assistants, and presenting at design reviews and project milestones.
  3. Conducts benchmarking and performance evaluation of LLM serving and agentic workflows on high-performance GPU systems (e.g., H100 / A100 / L40S) and national cloud allocations, and documents empirical hardware and performance findings.
  4. Leads and contributes to peer-reviewed, open-access publications (target of at least two first-author papers), and disseminates results through public code repositories, containerized reproducible workflows with persistent identifiers (DOIs), and FAIR data practices.
  5. Participates in security and responsible-AI review activities, including prototype security review and engagement with the project's external AI ethics advisory board.
  6. Co-teaches research-computing and data-science training workshops (e.g., R, Python, Linux, ML/AI pipelines) and contributes training modules to the project's education and workforce-development activities.
  7. Co-mentors graduate research assistants contributing to the agentic AI and MCP workstreams.
  8. Participates in the annual program meeting and represents the project's technical progress to collaborators, sponsor program staff, and the broader research community.
  9. Contributes to grant reporting and to the preparation of follow-on proposals, including empirical hardware-specification and benchmarking content.
  10. Performs related duties as assigned in support of the project's goals and the Fellow's professional development. 

Mentoring and Professional Development 
Consistent with UNM's expectations for postdoctoral training, the Fellow and mentor will jointly prepare an Individual Development Plan (IDP) within 30 days of hire, organized around the National Postdoctoral Association core competencies, with semiannual review. The Fellow will receive weekly one-on-one mentorship from the PI, structured career advising across academic, national-laboratory, and industry pathways, grant-writing experience, and visibility through the project's national partner network. The Fellow will complete UNM's Responsible Conduct of Research (RCR) training within the first six months.
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.

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