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Data Scientist Research Assistant Jobs in Colorado

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ... Support research and assessment design by developing analytical methodologies, data collection ...

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Product Pulse is seeking a Data Scientist to help us unlock the value in our data.WHAT YOU NEED TO ... Research and apply advanced statistical and ML methods.ABOUT OUR TEAM We're a data-driven team that ...

Data Scientist

Boulder, CO · On-site

$100 - $125/hr

We're a nonprofit engineering, applied research, and advanced technology organization working in ... Our team brings together engineers, data scientists, economists, and policy experts to help create ...

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Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

Across private and public sectors, from fraud detection to cancer research, to national ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

This position offers an exciting opportunity to work at the intersection of horticultural science ... Install data recording equipment and measurement sensors. Record, analyze and summarize data.

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

Across private and public sectors, from fraud detection to cancer research, to national ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Data Scientist

Aurora, CO · On-site

$77K - $176K/yr

Across private and public sectors, from fraud detection to cancer research, to national ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI ... LLM-powered assistants or AI copilots for financial operations or support. • Strong data ...

Research Assistant

Boulder, CO · On-site

$60 - $80/hr

... data, and come back with conclusions and a recommended next step. You will draw on published ... Senior scientists will set direction and priorities; you will determine how to get there. This is a ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI ... LLM-powered assistants or AI copilots for financial operations or support. • Strong data ...

Data Scientist

Aurora, CO · On-site

$125 - $150/hr

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, AI Specialist, Statistician, Data Engineer, Business Intelligence Analyst, Quantitative Analyst, Research Scientist, Predictive Analytics ...

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Data Scientist Research Assistant information

What is a data scientist research assistant?

Data Scientist Research Assistants are professionals who support data scientists in conducting research projects by collecting, cleaning, and analyzing large datasets. They help design experiments, implement statistical models, and interpret results to draw meaningful conclusions. Their work often involves using programming languages like Python or R, as well as machine learning tools to assist in developing research insights. These assistants may also contribute to writing research papers and preparing presentations of findings.

What are the key skills and qualifications needed to thrive as a data scientist research assistant?

To thrive as a Data Scientist Research Assistant, you need a solid understanding of statistics, data analysis, and programming—often supported by a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Python, R, SQL, and data visualization platforms, along with experience using machine learning libraries, is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you interpret results and collaborate with research teams. These competencies are essential to support rigorous, data-driven research and ensure the accuracy and clarity of findings.

What are some common challenges faced by data scientist research assistants when working with large datasets?

Data Scientist Research Assistants often encounter challenges such as managing data quality, dealing with incomplete or inconsistent data, and optimizing code for efficient data processing. Working with large datasets can also require familiarity with specialized tools and cloud platforms to ensure smooth data storage and retrieval. Collaborating closely with senior data scientists and researchers, you may also need to communicate complex findings in a clear, actionable way to both technical and non-technical team members.

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

AspectData Scientist Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, marketing, or healthcare industries
Employer & Industry UsageUniversities, research institutes, tech companiesCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding roles in research projects, academic workAnalyzing data for business insights, reporting

The Data Scientist Research Assistant typically works in research-focused environments, supporting data collection and analysis for academic or scientific projects. In contrast, Data Analysts focus on interpreting data to inform business decisions. While both roles require strong analytical skills, the research assistant often has a more academic or scientific focus, whereas data analysts are more industry-oriented.

Do research assistants get paid a lot?

Research assistants, including those in data science, typically earn entry-level salaries that vary by industry, location, and experience. Data Scientist Research Assistants often earn competitive wages compared to other research roles, with salaries increasing with skills in programming, statistical analysis, and machine learning tools. Overall, their pay is generally moderate and reflects the level of specialized knowledge required for the position.

What are the most commonly searched types of Data Scientist Research jobs in Colorado?

The most popular types of Data Scientist Research jobs in Colorado are:

What cities in Colorado are hiring for Data Scientist Research Assistant jobs?

Cities in Colorado with the most Data Scientist Research Assistant job openings:

Research Assistant Professor

University of Colorado Anschutz

Aurora, CO • On-site

Other

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Job description

🚨 🩻 We’re hiring a Research Assistant Professor (Non-Tenure Track) at the University of Colorado Anschutz! 🤖 🚨

The Bai Lab in the Department of Radiology at the University of Colorado Anschutz Medical Campus is recruiting a Research Assistant Professor (Non-Tenure Track) to join our growing research program in artificial intelligence, medical imaging, and healthcare.

Importantly, this position is designed to provide a pathway toward a tenure-track faculty appointment. Candidates who demonstrate strong research productivity, progress toward research independence, and meet departmental criteria will have the opportunity to be considered for transition to a tenure-track position after approximately two years.

We are looking for an ambitious researcher who wants not simply to join existing projects, but to develop an independent academic research career and build their own research program.

Our research spans a broad range of areas, including:

🔹 Medical imaging AI and deep learning

🔹 Multimodal AI integrating imaging, clinical, and other health data

🔹 Large language models and vision-language models in medicine

🔹 AI across radiology and a broad range of clinical applications

🔹 Prediction, prognosis, and longitudinal disease modeling

🔹 Clinical validation and real-world deployment of AI systems

🔹 Large-scale medical imaging datasets and multi-institutional studies

The successful candidate will have opportunities to lead research projects, develop new AI methodologies and clinical applications, publish high-impact work, mentor trainees, develop grant proposals, and establish an increasingly independent and externally funded research portfolio.

We welcome candidates with backgrounds in computer science, biomedical engineering, medical imaging, machine learning, data science, or related quantitative fields. We are particularly interested in individuals with strong technical expertise, a productive publication record, scientific creativity, and a clear vision for their future research.

You do not need to work in a specific disease area. We are interested in researchers who can bring complementary expertise and new research directions to our group.

Our environment provides access to growing clinical imaging datasets, computational resources, multidisciplinary clinical collaborators, and opportunities for multi-institutional research.

🌎 International applicants are welcome. For the right candidate, H-1B visa sponsorship is available.

📝 Interested? Please send me your CV, a brief description of your research accomplishments and interests, and your future research goals. Candidates whose background and vision align with our program will be invited for an initial conversation.

We are especially interested in what you want to build next—and how we can help you develop the research portfolio, funding, collaborations, and independence needed for the next stage of your academic career.

🧬 Please share this opportunity with your network or anyone who might be a great fit!

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