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Remote Computational Material Science Jobs in Colorado

Remote * Commitment : 10-40 hours/week What You'll Do * Review and evaluate AI-generated clinical ... materials * Validate scientific narratives and flag errors, oversimplifications, or misleading ...

Medical Science Liaison

Denver, CO · On-site +1

$150K - $170K/yr

Review and develop educational materials and slide content for healthcare providers and patients ... Remote USA $150,000--$170,000 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA ...

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Team You will join our expert Computational Imaging team, where we develop sophisticated ...

Senior Software Engineer

Boulder, CO · On-site +1

$140K - $185K/yr

... computational breakthroughs. Join a world-class team of scientists, engineers, and business ... remote. Responsibilities * Develop and maintain public API features and open-source SDKs for ...

Senior Software Engineer

Boulder, CO · On-site +1

$140K - $185K/yr

... computational breakthroughs. Join a world-class team of scientists, engineers, and business ... remote. Responsibilities * Develop and maintain public API features and open-source SDKs for ...

Senior Decision Science Analyst

Colorado Springs, CO · On-site +1

$86.70K - $114.80K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Translates recommendation into communication materials to effectively present to various levels of ...

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Remote Computational Material Science information

What is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

What are the most commonly searched types of Computational Material Science jobs in Colorado? The most popular types of Computational Material Science jobs in Colorado are:
What are popular job titles related to Remote Computational Material Science jobs in Colorado? For Remote Computational Material Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Computational Material Science jobs in Colorado look for? The top searched job categories for Remote Computational Material Science jobs in Colorado are:
What cities in Colorado are hiring for Remote Computational Material Science jobs? Cities in Colorado with the most Remote Computational Material Science job openings:
Infographic showing various Remote Computational Material Science job openings in Colorado as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 5% Hybrid, and 1% Remote job distribution.
Computational Biologist - AI Trainer

Computational Biologist - AI Trainer

DataAnnotation

Denver, CO • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr