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Data Science Co Op Remote Jobs in Colorado (NOW HIRING)

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246521 Location: Aurora,CO,US Share job via: Share Data Engineer ... Ability to query, clean, organize, and store DoW and IC data using common data science languages ...

Data Engineer

Colorado Springs, CO · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246414 Location: Colorado Springs,CO,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a STEM field Nice ...

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO · On-site +1

$50K - $120K/yr

  • Medical

  • Retirement

  • PTO

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Location Aurora, CO Ready for Next Steps? We encourage you to apply and connect with us even if a ...

Demand Planning Analyst

Denver, CO · On-site +1

$60K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Time Type: Full time Remote Type: Job Family Group: Summary: The primary role of the Demand ... or co-op experience may be considered) * Advanced PC skills using MS Office and other various ...

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Showing results 41-60

Data Science Co Op Remote information

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

What are the most commonly searched types of Data Science Remote jobs in Colorado?

The most popular types of Data Science Remote jobs in Colorado are:

What are popular job titles related to Data Science Co Op Remote jobs in Colorado?

For Data Science Co Op Remote jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Data Science Co Op Remote jobs?

Cities in Colorado with the most Data Science Co Op Remote job openings:

Infographic showing various Data Science Co Op Remote job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Westminster, CO • Remote

$90 - $120/hr

Part-time

Posted 19 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.