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Associate Data Science R Jobs in Fort Collins, CO

RD SOLUTIONS INC

Data Scanning Associate

Estes Park, CO · On-site

$17.75 - $23/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... R.T = Accountability, Respect, Trust! What Does RDSolutions Require? * At least 18 years of age.

RetailData

Data Scanning Associate

Estes Park, CO · On-site

$17.75 - $23/hr

If you are the type of person who is self-motivated, enjoys working independently, data entry and ... R.T = Accountability, Respect, Trust! What Does RDSolutions Require? * At least 18 years of age.

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All JobsAssociate Data Science R JobsAssociate Data Science R Jobs in Fort Collins, CO

Associate Data Science R information

See Fort Collins, CO salary details

$56.9K

$67.3K

$127.7K

How much do associate data science r jobs pay per year?

As of Aug 17, 2026, the average yearly pay for associate data science r in Fort Collins, CO is $67,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $58,900.00 per year, depending on experience, location, and employer.

What can I do with an associate data science R?

An associate data scientist with R skills can perform data analysis, build statistical models, and create visualizations to support decision-making. They often work with tools like RStudio and may collaborate with teams on data cleaning, reporting, and predictive modeling projects. This role typically requires foundational knowledge of programming, statistics, and data management.

What are popular job titles related to Associate Data Science R jobs in Fort Collins, CO?

For Associate Data Science R jobs in Fort Collins, CO, the most frequently searched job titles are:

What job categories do people searching Associate Data Science R jobs in Fort Collins, CO look for?

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Cities near Fort Collins, CO with the most Associate Data Science R job openings:

Associate Data Science R jobs near you
Infographic showing various Associate Data Science R job openings in Fort Collins, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,348 per year, or $32.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Longmont, CO • Remote

$90 - $120/hr

Part-time

Posted 20 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.

Apply