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Remote Clinical Data Scientist Jobs in Kansas (NOW HIRING)

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Deep expertise in remote sensing and geospatial analysis, including working with satellite imagery ...

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 ... WHAT YOU'LL DO The Senior Data and AI Scientist leads strategic data science and AI initiatives ...

micro1 AI

Cheminformatics Specialist - Remote

Olathe, KS · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Wichita, KS · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Topeka, KS · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Total Performance Consulting

$98K - $118K/yr

Education BS in Computer Science and a minimum of five years of experience delivering production ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

micro1 AI

Bioinformatics Software Engineer

Wichita, KS · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Topeka, KS · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Remote Clinical Data Scientist information

What is a remote clinical data scientist?

A Remote Clinical Data Scientist is a professional who analyzes and interprets complex clinical data related to healthcare studies, treatments, and outcomes, while working from a remote location. They use statistical methods, programming languages, and data management tools to ensure the quality and integrity of clinical trial data. Their work supports clinical research, drug development, and regulatory submissions by providing crucial insights and data-driven recommendations. Remote Clinical Data Scientists often collaborate with clinical teams, biostatisticians, and regulatory professionals using digital communication tools.

How does a remote clinical data scientist typically collaborate with clinical and research teams despite working off-site?

Remote Clinical Data Scientists often work closely with cross-functional teams, including clinicians, biostatisticians, and data managers, using digital collaboration tools such as video conferencing, shared cloud platforms, and secure data repositories. Regular virtual meetings and clear communication protocols help ensure alignment on project goals, data requirements, and analysis timelines. Building strong relationships remotely may require proactive communication and flexibility, but it also allows for efficient collaboration across multiple time zones and institutions. This structure supports seamless participation in data review meetings, protocol discussions, and results interpretation, fostering an inclusive team environment.

What are the key skills and qualifications needed to thrive as a remote clinical data scientist, and why are they important?

To thrive as a Remote Clinical Data Scientist, you need expertise in biostatistics, clinical research methods, data analysis, and typically a graduate degree in a related field. Proficiency in statistical programming languages like R or Python, knowledge of clinical trial data management systems, and familiarity with regulatory requirements such as CDISC standards are essential. Exceptional communication, problem-solving abilities, and attention to detail help you collaborate across multidisciplinary teams and ensure data integrity. These skills ensure accurate interpretation of clinical data, support regulatory compliance, and drive successful outcomes in remote healthcare research environments.

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

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

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

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

What cities in Kansas are hiring for Remote Clinical Data Scientist jobs?

Cities in Kansas with the most Remote Clinical Data Scientist job openings:

Remote Clinical Data Scientist jobs near you
Infographic showing various Remote Clinical Data Scientist job openings in Kansas 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.

Staff Data Scientist - Wildfire

On-site, Remote

Overstory
See more jobs at Overstoryexternal

Full-time

Posted 8 days ago

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