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Python Research Assistant Jobs in Colorado (NOW HIRING)

Research Lab Manager

Boulder, CO · On-site

$25 - $30/hr

Job Summary The Gil Lab in the Department of Ecology & Evolutionary Biology at the University of Colorado Boulder is seeking a highly organized, technically capable, and collaborative Research Lab

New

Research Scientist

Brighton, CO · On-site

$85K - $105K/yr

About Zero Carbon Systems Zero Carbon Systems (ZCS) is a clean energy and direct air capture company on a mission to accelerate the transition to a zero carbon future. We are developing and deploying

Research Scientist

Brighton, CO · On-site

$85K - $105K/yr

About Zero Carbon Systems Zero Carbon Systems (ZCS) is a clean energy and direct air capture company on a mission to accelerate the transition to a zero carbon future. We are developing and deploying

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Python Research Assistant information

What is the difference between Python Research Assistant vs Data Analyst?

AspectPython Research AssistantData Analyst
Required SkillsPython programming, research methods, data collectionData analysis, visualization, statistical tools
Work EnvironmentResearch labs, academic institutions, research projectsBusiness settings, corporate offices, data-driven departments
Common EmployersUniversities, research institutes, non-profitsCorporations, consulting firms, government agencies

The main difference between a Python Research Assistant and a Data Analyst lies in their focus. Python Research Assistants primarily support research projects using Python for data collection and analysis within academic or research settings. Data Analysts, on the other hand, work in business environments analyzing data to inform decision-making. While both roles require Python skills, Python Research Assistants emphasize research methodologies, whereas Data Analysts focus on business insights and reporting.

Do research assistants get paid a lot?

Research assistants, including those working in Python research roles, typically earn wages that vary based on experience, education, and location. Entry-level positions often pay hourly wages, while more experienced research assistants or those with specialized skills in programming and data analysis can earn higher salaries or stipends, especially in academic or research institutions. Overall, pay is generally moderate and reflects the level of technical expertise required for the role.

Which Python research assistant job is in demand?

Python research assistant roles are in demand across industries such as technology, academia, and healthcare, especially for positions requiring data analysis, machine learning, and scripting skills. These jobs often require proficiency in Python libraries like Pandas, NumPy, and TensorFlow, and may involve working with large datasets or developing algorithms. Demand is higher for roles that combine programming expertise with domain-specific knowledge and strong analytical skills.

What cities in Colorado are hiring for Python Research Assistant jobs?

Cities in Colorado with the most Python Research Assistant job openings:

Infographic showing various Python Research Assistant job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Research Lab Manager

Boulder, CO • On-site

University of Colorado Boulder
Colleges, Universities, and Professional Schools • 10K+ employees

$25 - $30/hr

Other

Posted 2 days ago

New


University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz


Job description

Research Lab Manager

The Gil Lab in the Department of Ecology & Evolutionary Biology at the University of Colorado Boulder is seeking a highly organized, technically capable, and collaborative Research Lab Manager to serve as the central coordinator for an active, interdisciplinary research group studying animal behavior, movement ecology, and coral reef ecosystems.

Our lab focuses on quantitative behavioral ecology. We aim to rigorously and mechanistically understand how animals make decisions in the wild—such as where to move, forage, or seek refuge—and to integrate this empirical understanding into larger-scale and longer-term theoretical models. Ultimately, our goal is to improve predictions of how ecosystems may change and respond to environmental disturbances in unexpected ways driven by behavior. We use coral reef fishes as a model system to link fine-scale behavior in the field to population-, and community-, and ecosystem-level dynamics.

The lab's core team includes a Principal Investigator (Dr. Mike Gil), three PhD students, and one postdoctoral researcher, and typically 30–50 undergraduate research assistants working in smaller, project-based groups. The Lab Manager plays a key role in helping this structure function smoothly by coordinating projects, supporting workflows, and maintaining clear communication across the lab.

This role is designed to be substantive, flexible, and professionally meaningful for applicants at a range of career stages. Ideal candidates may include individuals with bachelor's, master's, or doctoral degrees who enjoy research coordination, computational problem-solving, mentorship, and being deeply embedded in an active academic lab environment. The position is particularly well-suited for candidates seeking intellectually engaging research work with flexible hours and without the need for benefits.

Applicants who already hold an MS/MSc or PhD and are seeking a long-term, research-embedded role are especially encouraged to apply.

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.

What Your Key Responsibilities Will Be

Lab Coordination & Project Management: Serve as the central project coordinator for a large, multi-project research lab; Track timelines, personnel, and deliverables across diverse research efforts; Maintain lab documentation, shared resources, spreadsheets, and organizational systems; Take notes during lab and project meetings and follow up on action items

Support onboarding, training, and coordination of undergraduate researchers.

Technical & Research Support: Develop, streamline, and maintain custom data-processing and analysis workflows; Troubleshoot, debug, and improve existing code (primarily Python-based, often focused on computer vision); Implement and manage computational workflows on high-performance computing (HPC) systems (e.g., CU's Alpine HPC cluster); Support data organization, quality control, and reproducibility across projects; Coordinate with freelance programmers and external collaborators to implement and refine tools.

Mentorship, Communication & Lab Culture: Mentor and support undergraduate researchers and project leads; Provide thoughtful feedback on research workflows and protocols; Help maintain a positive, inclusive, and well-functioning lab culture; Facilitate clear communication within the lab and with collaborators; Assist with reflection, evaluation, and improvement of lab practices.

Operations & Administration: Assist with lab finances and day-to-day operations (ordering, tracking expenses, etc.); Serve as a point person for logistical questions related to lab workflows and expectations; Help ensure smooth lab function during periods of faculty travel

What We Can Offer

$25-$30.00/hr

Benefits

Temporary positions at the University of Colorado are not benefits-eligible, however, all positions are eligible for paid sick leave.

Be Statements

Be creative. Be impactful. Be Boulder.

What We Require
  • Bachelor's degree or higher in ecology, biology, computer science, environmental science, or a related field
  • Strong organizational skills and ability to manage multiple projects simultaneously
  • Comfort engaging with technical material (e.g., code, data pipelines, quantitative methods), with willingness to learn new tools as needed
  • Excellent written and verbal communication skills
  • High level of independence, initiative, and reliability
What We Would Like You to Have
  • Advanced degree (MS/MSc or PhD) in a relevant field;
  • Experience with Python or scientific computing workflows; Familiarity with HPC environments, version control, or reproducible research practices.
Special Instructions

To apply, please submit the following materials: Resume/CV Cover Letter During the application process you will need to enter contact information for a reference who may be contacted to provide a letter of recommendation later in the recruitment process. For consideration, please apply by September 15, 2026. Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.


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