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Contract Scientific Computing Jobs (NOW HIRING)

... Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

Contingent on Contract Award Overview STi is seeking a CWMD Computer Programming SME to support ... Experience with M&S tools and scientific computing Preferred Qualifications * Experience supporting ...

Contingent on Contract Award Overview STi is seeking a CWMD Computer Programming SME to support ... Experience with M&S tools and scientific computing Preferred Qualifications * Experience supporting ...

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Contract Scientific Computing information

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How much do contract scientific computing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for contract scientific computing in the United States is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Scientific Computing professional, and why are they important?

To thrive as a Contract Scientific Computing professional, you need a solid background in computational science, mathematics, and programming, typically supported by an advanced degree in a relevant STEM field. Expertise with programming languages (such as Python, R, or MATLAB), scientific software libraries, and experience with high-performance computing systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills in this role. These capabilities ensure accurate data analysis, efficient project delivery, and successful collaboration with multidisciplinary teams.

What are some common challenges faced by professionals in contract scientific computing roles, and how can they be addressed?

Contract scientific computing professionals often encounter challenges such as adapting quickly to new research environments, managing diverse project requirements, and ensuring clear communication with multidisciplinary teams. To address these, it’s helpful to spend time upfront understanding client expectations, maintain organized documentation, and establish regular check-ins with both scientific and IT stakeholders. Flexibility and continuous learning are key, as projects may involve rapidly changing technologies or scientific domains. Building a strong professional network can also help in finding solutions to technical or collaborative issues that arise.

What is contract scientific computing?

Contract scientific computing refers to the practice of hiring external experts or companies to perform specialized computational tasks, such as data analysis, simulation, or algorithm development, for scientific research projects. These professionals are typically engaged on a contract or project basis rather than as full-time employees. Organizations use contract scientific computing to access specific expertise, scale up research efforts, or accelerate project timelines without committing to permanent hiring. This approach is common in fields like physics, biology, engineering, and data science. Contract scientists may work remotely or on-site, depending on project needs.

What is the difference between Contract Scientific Computing vs Contract Data Analysis?

AspectContract Scientific ComputingContract Data Analysis
Required CredentialsDegree in Computer Science, Scientific Computing, or related field; programming skillsDegree in Statistics, Data Science, or related; analytical skills
Work EnvironmentResearch labs, biotech, pharma, academiaBusiness, finance, healthcare, tech companies
Employer & Industry UsageResearch institutions, scientific companiesCorporate, consulting, healthcare sectors
Search & Comparison IntentFocus on computational tasks, simulations, modelingFocus on data interpretation, reporting, insights

Contract Scientific Computing involves developing computational models and simulations in scientific research, often requiring programming and technical skills. Contract Data Analysis centers on interpreting datasets to generate insights for business decisions. While both roles require analytical skills, Contract Scientific Computing emphasizes computational methods, whereas Contract Data Analysis focuses on data interpretation and reporting.

More about Contract Scientific Computing jobs
What cities are hiring for Contract Scientific Computing jobs? Cities with the most Contract Scientific Computing job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Contract Scientific Computing jobs? States with the most job openings for Contract Scientific Computing jobs include:
Infographic showing various Contract Scientific Computing job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.
Director of the Center for Advanced Research Computing (CARC)

Director of the Center for Advanced Research Computing (CARC)

University of New Mexico

Albuquerque, NM • On-site

Other

Posted 19 days ago


University Of New Mexico rating

8.5

Company rating: 8.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

63rd of 530 rated colleges and universities


Job description

The University of New Mexico (UNM) seeks a dynamic, innovative,results-oriented, and proven leader for the position of Director of theCenter for Advanced Research Computing (CARC), one of UNM's premierstrategic research centers. The selected candidate will report directly to theVice President for Research (VPR) and will be open rank determined by the individual's academic background.
CARC is an internationally recognized center ofexcellence in advanced computing systems with a long history of research,innovation, and service in computing systems and computational science. Thecenter's mission is to facilitate cross-disciplinary computational research atUNM and nation-wide by leading multi-disciplinary research and educationalinitiatives and by providing advanced computing services to the Universitycommunity. CARC supported research at UNM includes faculty, staff, and studentsfrom many departments, colleges, research centers, and campuses, including theSchool of Engineering, the College of Arts and Sciences, the College of FineArts, the Quantum New Mexico Institute, and the UNM Health Sciences Center.CARC also actively collaborates with faculty and staff across campus and atSandia and Los Alamos National Laboratories in educational initiatives to trainthe next generation of computational experts through programs such as theUniversity's Computational Science and Engineering graduate certificateprogram.
Tofacilitate and execute research and superb educational opportunities in advancedresearch computing, CARC supports high performance and data intensive computingfacilities used by the entire UNM community[GT1] .These resources, managed directly by CARC staff, include multiple computeclusters that include state-of-the-art GPU resources, dedicated enterprise andhigh-performance storage systems, high-speed networking systems, and a widerange of software packages for use by the community of UNM researchers,including traditional scientific computing applications, state-of-the-art dataanalytics and machine learning systems. These systems are housed in CARC'sdedicated research data center with multiple UPS systems and cooling systems;UNM is also in the process of upgrading these facilities to support additionalcomputing systems to support emerging research in AI and quantum computing. Fora full description of CARC and its activities, please visit http://carc.unm.edu.
The University of New Mexico is classified as aCarnegie Doctoral/Research R1 University-Very High Research Activity. UNM's fifteencolleges and schools serve a large student population of over 28,000 at itsmain campus in Albuquerque. UNM provides an excellent environment forresearch-university education with experiential learning and training and produceshighly trained researchers to our nation.
The successful candidate will:

  • Prepare and implement a strategic vision and plan for CARC
  • Enhance CARC's portfolio of external funding by facilitating and catalyzing interdisciplinary computational research by UNM faculty and the acquisition of grants and contracts awarded to support this research
  • Supervise CARC staff, projects, operations, facilities, and activities, including those that pertain to research administration functions and compliance with University, State, and Federal policies and regulations
  • Fully integrate CARC's research mission with graduate and undergraduate educational programs across UNM as well as outreach efforts to New Mexico schools and communities
  • Establish active collaborative research partnerships both within the University (e.g., other departments, centers, and institutes) and with strategic partners outside the university (e.g., national laboratories, industry partners, economic development agencies)
  • Represent CARC to the University and external communities at all levels
  • Participate in VPR's Research Council to help develop and implement Office of the Vice President for Research (OVPR) initiatives and provide input and feedback to the OVPR leadership team
  • Mentor early career investigators, post-docs, and students in developing research programs that fit within CARC's mission
  • Prepare, oversee, and serve as responsible agent for the CARC budget, including oversight on sponsored projects, facilities usage, and staff compensation exercises
  • Provide regular operational and planning reports to the VPR (monthly and yearly) and internal and external advisory boards (biannually and yearly, respectively)
  • Establish a vibrant and well-funded collaborative research enterprise

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