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Associate In Computer Science Jobs in Longmont, CO

Baseband Sr. Engineer

Boulder, CO · On-site

$108K - $148K/yr

OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. What you will do * Design, integrate, bring up, and validate baseband subsystems for automotive ...

Senior Algorithm Engineer

Westminster, CO · On-site

$106K - $145K/yr

Required : • Bachelors degree in Computer Science, Computer Engineering, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field. • Minimum of 5 years of ...

D. in Computer Science, Machine Learning, or a related field. Strong background in generative models, natural language processing (NLP), and large language models (LLMs). 5+ years of hands-on ...

Required Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 3+ years of hands-on experience with the Linux kernel, including development ...

Bachelor's of Science degree or foreign equivalent in Computer Science, Mechanical, Electrical, Computer Engineering or Physics, plus 24 months' experience in robotics engineering integrating ...

McCallie Associates, Inc., a wholly owned subsidiary of Alutiiq, LLC, is accepting applications for ... S. Citizenship Bachelor's degree in Computer Science, Information Security, Cybersecurity ...

Required Qualifications • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. • 3+ years of hands-on experience with the Linux kernel, including ...

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Associate In Computer Science information

See Longmont, CO salary details

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How much do associate in computer science jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for associate in computer science in Longmont, CO is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.95 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate in Computer Science, and why are they important?

To thrive as an Associate in Computer Science, you need a solid understanding of programming languages, problem-solving skills, and a relevant associate degree or certification. Familiarity with coding tools, databases, and version control systems like Git is typically required. Strong analytical thinking, teamwork, and effective communication help you excel in collaborative and technical environments. These abilities are crucial for delivering reliable solutions, adapting to new technologies, and supporting project goals in IT settings.

What are some common challenges faced by an Associate in Computer Science when working on team-based projects?

Associates in Computer Science often encounter challenges such as coordinating with team members who have varying skill levels and communication styles. Balancing individual coding tasks with collaborative responsibilities like code reviews, pair programming, and integrating code can be demanding, especially under tight deadlines. Additionally, staying up-to-date with rapidly evolving technologies and adapting to different project management methodologies (such as Agile or Scrum) are frequent hurdles. However, these challenges also offer valuable learning opportunities and foster professional growth.

What is the difference between Associate In Computer Science vs Computer Support Specialist?

AspectAssociate In Computer ScienceComputer Support Specialist
Required CredentialsAssociate degree in Computer Science or related fieldHigh school diploma or equivalent; certifications like CompTIA A+ often preferred
Work EnvironmentEducational institutions, tech companies, or research labsHelp desks, corporate IT departments, or technical support centers
Industry UsageAcademic programs, entry-level tech roles, internshipsCustomer support, troubleshooting, hardware/software assistance

The Associate In Computer Science typically prepares individuals for entry-level technical roles or further education in computer science, focusing on foundational knowledge. In contrast, a Computer Support Specialist primarily provides technical support and troubleshooting services in various organizations. While both roles involve technical skills, the Associate In Computer Science emphasizes broader computer science concepts, whereas the Computer Support Specialist focuses on user support and problem resolution.

What are Associate in Computer Science jobs?

Associate in Computer Science jobs are entry-level positions typically requiring a two-year associate degree in computer science or a related field. These roles often include responsibilities like technical support, software testing, IT assistance, or junior programming tasks. They are designed to give recent graduates practical experience in the tech industry and can serve as a stepping stone to more advanced positions. Many employers seek candidates with strong problem-solving skills, a basic understanding of programming languages, and familiarity with computer systems. This role is a good starting point for those looking to build a career in technology.
What cities near Longmont, CO are hiring for Associate In Computer Science jobs? Cities near Longmont, CO with the most Associate In Computer Science job openings:
(Postdoctoral) Research Scientist in Statistical Modeling of Educational Data

(Postdoctoral) Research Scientist in Statistical Modeling of Educational Data

University of Colorado

Boulder, CO • On-site

$65K - $85K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 22 days ago


University Of Colorado Boulder rating

8.1

Company rating: 8.1 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

134th of 544 rated colleges and universities


Job description

Job Summary
The Institute of Cognitive Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow for statistical modeling of educational data. The project focuses on analyzing data pertaining to improving educational outcomes for students. In this position, you will develop and apply analytical techniques to analyze data pertaining to student learning, engagement, and collaborative discourse during small group human tutoring and collaborative problem solving. You will also examine the impacts of interventions to improve various educational outcomes.
For early career scholars, this position offers a unique training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. You will be encouraged to develop advanced technical skills, conduct real-world impactful research, strengthen your research portfolio via publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills, and gain expertise in co-authoring grant proposals. More experienced researchers will have the opportunity to hone their skills within a world-class research environment offering outstanding professional development options and an exceptional collaborative environment.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are
You play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education. We are housed in the Institute of Cognitive Science (ICS; https://www.colorado.edu/ics/ ), whose mission is to enhance human cognition, learning, and development through the creation of interdisciplinary partnerships. ICS fosters rich scientific interchange across researchers from a broad range of fields including Artificial Intelligence, Linguistics, Psychology, Neuroscience, Computer Science, Philosophy, and Education. ICS serves as an incubator of research centers and institutes such as the NSF National AI Institute for Student-AI Teaming (www.isat.ai) and the Learning Engineering Virtual Institute (LEVI - https://learning-engineering-virtual-institute.org/ ).
What Your Key Responsibilities Will Be
  • Preparing large datasets for analysis by merging data from multiple sources and checking data integrity.
  • Developing and applying statistical techniques for modeling large longitudinal, multilevel, multivariate datasets.
  • Converting research questions into representative statistical models.
  • Maintaining and applying current best practices in open science.
  • Dissemination of results by leading publication efforts and assisting with reporting.
  • Managing projects including supervising project staff and students.

What You Should Know
  • 1-3 year position. Initial contract is for one year.
  • Contract is renewable annually based on performance and availability of funds.
  • Start date Fall 2026 (desired).
  • This is a hybrid position encompassing both in-person and work-from-home but the candidate must be located in the Denver Metro Area.

What We Can Offer
  • Salary ranging from $65,000 to $85,000 based on experience and qualifications.
  • This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible for monthly vacation and sick leave accruals.
  • May offer relocation expense reimbursement of up to $2500.

Benefits
At the University of Colorado Boulder , we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements
Be ambitious. Be groundbreaking. Be Boulder.
What We Require
  • Ph.D. in Quantitative Psychology, Statistics, Education or a related technical field (at the time of appointment).
  • Strong writing skills and ability to conduct independent research as evidenced by multiple first author publications.

What You Will Need
  • Demonstrated expertise in analysis of complex multivariate datasets using advanced methods including structural equation modeling, instrumental variable analysis, mixed-effects modeling, longitudinal data analysis, and multivariate time series modeling as evidenced by peer-reviewed publications.
  • Experience in cluster RCTs or quasi-experimental design and data analysis.
  • Expertise in statistical modeling (R and Python preferred).

What We Would Like You to Have
  • Theoretical foundation in the learning science and cognitive science of learning.
  • Experience in Bayesian analysis, latent growth curves analysis, multilevel modeling, data wrangling, missing data analysis, network modeling, multivariate time series and dynamical systems modeling, mediation and moderation analysis, multiple group modeling.
  • Experience working within large, interdisciplinary teams and evidence of leadership.

Special Instructions
To apply, please submit the following materials:
  1. Current resume/CV.
  2. Cover letter that specifically outlines how you are uniquely qualified for the job as described.
  3. Two or three representative publications [as one pdf]
(Optional) Transcripts/Proof of Degree: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.
Please apply by 7/1/2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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