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Remote Research Scientist Jobs in Kansas (NOW HIRING)

Overstory

Mentor ML engineers on scientific methodology and domain reasoning Skills & Experience * 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote ...

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Master's degree in Statistics, Data Science, Computer Science, Mathematics, Operations Research, or ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Icon plc

North America | Remote | Sponsor-Dedicated (FSP) Opportunities ICON is a global healthcare ... a scientific, healthcare, or related field * Clinical monitoring experience within the ...

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

Block

Remote (US / Canada) Duration: Fall/Winter 2026 co-op - 8 months, flexible start September 2026 ... Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics ...

New

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All JobsResearch Scientist JobsRemote Research Scientist JobsRemote Research Scientist Jobs in Kansas

Remote Research Scientist information

See Kansas salary details

$45K

$116K

$155.2K

How much do remote research scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote research scientist in Kansas is $116,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $154,300.00 per year, depending on experience, location, and employer.

What is a remote research scientist?

A Remote Research Scientist conducts scientific research and analysis from a remote location, often for academic institutions, private companies, or government agencies. They design experiments, analyze data, and publish findings while collaborating with teams virtually. Depending on the field, they may work in areas like artificial intelligence, biology, or social sciences. Strong communication, data analysis, and self-management skills are crucial for success in this role.

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

A Remote Research Scientist typically needs an advanced degree (Master's or Ph.D.) in a relevant scientific field, strong analytical abilities, and experience designing and conducting research studies. Familiarity with statistical software, data analysis tools, and research databases, as well as experience with tools like R, Python, or MATLAB, is often required. Excellent written and verbal communication, self-motivation, and strong organizational skills are key soft skills for this role. These competencies are crucial for managing independent research projects, collaborating virtually with team members, and producing high-quality, publishable work.

How does collaboration work for remote research scientists who are not physically present with their teams?

Remote Research Scientists often collaborate through digital platforms such as video conferencing, shared cloud-based documents, and project management tools to ensure seamless communication and teamwork. Regular virtual meetings, clear documentation, and prompt updates are essential to keep everyone aligned on project goals and timelines. Many organizations have established protocols for remote workflow that foster close cooperation with colleagues across disciplines and time zones. This structure enables Remote Research Scientists to effectively contribute to joint publications, share findings, and access support from mentors or team leads regardless of their physical location.

Are remote research scientists in high demand?

Remote research scientists are in high demand across industries such as healthcare, technology, and academia due to the increasing reliance on data analysis, scientific innovation, and remote collaboration tools. Employers seek candidates with strong analytical skills, relevant technical expertise, and the ability to work independently in a virtual environment.

Can a remote research scientist work from home?

Yes, many remote research scientists work from home, utilizing digital collaboration tools and data analysis software. Their work often involves independent research, data collection, and reporting, which can be performed remotely with a reliable internet connection and relevant technical skills.

Can you work remotely as a research scientist?

Remote research scientist positions are common in many fields, allowing professionals to conduct experiments, analyze data, and collaborate virtually. These roles often require strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or software proficiency. Remote work arrangements depend on the employer and the nature of the research.

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

The most popular types of Research Scientist jobs in Kansas are:

What are popular job titles related to Remote Research Scientist jobs in Kansas?

For Remote Research Scientist jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Research Scientist jobs in Kansas look for?

The top searched job categories for Remote Research Scientist jobs in Kansas are:

What cities in Kansas are hiring for Remote Research Scientist jobs?

Cities in Kansas with the most Remote Research Scientist job openings:

Remote Research Scientist jobs near you
Infographic showing various Remote Research Scientist job openings in Kansas as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% Remote job distribution, with an average salary of $116,045 per year, or $55.8 per hour.

Staff Data Scientist - Wildfire

Overstory

On-site, Remote

Full-time

Posted 17 days ago

Key responsibilities

  • Lead research into estimating vegetation structure, fuel conditions, and wildfire risk from satellite, LiDAR, and environmental data across diverse geographies

  • Design validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis

  • Prototype and refine machine learning modeling approaches, then collaborate with ML engineers to implement them into production systems

Job description

Role & Team

We are excited to add a Staff Data Scientist, Wildfire to our team. This individual will lead the scientific foundation of our Fuel Detection Model, the core engine that translates satellite and environmental data into an understanding of vegetation structure, fuel loads, and wildfire risk.
Working alongside ML engineers, and a product team, you'll define accuracy for our models, design the research and validation methods that prove it, and ensure our modeling choices are grounded in fire science and remote sensing fundamentals. This is a great opportunity for someone who is energized by open scientific questions with direct real-world stakes, and who wants their research to shape how utilities prevent catastrophic wildfires.

Time Zone Requirement: North America (NST, AST, EST, CST, MST, PST)

What You'll Do
  • Lead research into how vegetation structure, fuel conditions, and wildfire risk can be estimated from satellite, LiDAR, and environmental data across diverse geographies
  • Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact
  • Prototype and refine ML modeling approaches, then partner with ML engineers to translate them into production systems
  • Integrate established fire science, such as fuel models and fire behavior frameworks, with data-driven methods
  • Define scientific standards for experimentation, reproducibility, and model interpretability across the modeling organization
  • Communicate research findings clearly to engineers, product teams, customers, and the broader wildfire science community
  • Mentor ML engineers on scientific methodology and domain reasoning
Skills & Experience
  • 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote sensing, atmospheric science, or a related quantitative field
  • Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery and large-scale environmental datasets
  • Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas, scikit-learn, PyTorch, or XGBoost
  • Track record of designing validation studies and evaluation frameworks for environmental or geospatial models
  • Excellent communication skills, with the ability to make complex scientific work legible across technical and non-technical audience
Nice To Have
  • Familiarity with fire behavior or fuels modeling frameworks (e.g., Rothermel-based models, LANDFIRE fuel classifications)
  • Experience integrating physics-based models with ML, or with active learning and uncertainty quantification
  • Peer-reviewed publications in wildfire science, remote sensing, or environmental modeling
  • Familiarity with GCP, Vertex AI, or similar cloud-based platforms
  • Experience in remote-first or globally distributed team

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, co-working and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply