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Remote Snow Science Jobs (NOW HIRING)

UIC Alaska

Field Support Technician - UIC Science

Barrow, AK · Remote

$24.50 - $33.75/hr

Overview UIC Science is seeking a Field Support Technician to provide hands-on support for field ... remote environments. * Exposure to extreme cold, wind, snow, rain, and other adverse weather ...

Zanskar

Equipment / Geologic Technician

Salt Lake City, UT · On-site +1

$23 - $25/hr

In addition to scientific responsibilities, the technician will support daily field operations ... Self-motivated with the ability to work independently in small, remote teams. * Willingness to ...

System One

Junior Network Engineer

Bethesda, MD · Remote

$40 - $45/hr

Junior Network Engineer 100% remote US Citizenship is required per government contract Must be able ... SNOW, Splunk, StealthWatch, AlgoSec, New Relic, SolarWinds, and others for log evaluation and ...

System One

Junior Network Engineer

Bethesda, MD · Remote

$40 - $45/hr

Junior Network Engineer 100% remote US Citizenship is required per government contract Must be able ... SNOW, Splunk, StealthWatch, AlgoSec, New Relic, SolarWinds, and others for log evaluation and ...

System One

Junior Network Engineer

Bethesda, MD · Remote

$40 - $45/hr

Junior Network Engineer 100% remote US Citizenship is required per government contract Must be able ... SNOW, Splunk, StealthWatch, AlgoSec, New Relic, SolarWinds, and others for log evaluation and ...

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Remote Snow Science information

See salary details

$24.5K

$48.4K

$79K

How much do remote snow science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote snow science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

How does a Remote Snow Scientist typically collaborate with meteorologists and avalanche forecasters?

Remote Snow Scientists frequently work in close partnership with meteorologists and avalanche forecasters by sharing real-time snowpack data, conducting virtual meetings, and contributing to joint reports. They often analyze satellite imagery, remote sensors, and weather models to provide insights that help predict avalanche risks and inform public safety decisions. Effective communication and data sharing are essential, as team members may be distributed across different locations and time zones, requiring strong digital collaboration skills and a proactive approach to teamwork.

What is the difference between Remote Snow Science vs Remote Avalanche Technician?

AspectRemote Snow ScienceRemote Avalanche Technician
CredentialsSnow science certifications, environmental knowledgeAvalanche certifications, safety training
Work EnvironmentResearch, data analysis, remote monitoringFieldwork, snowpack assessment, remote or on-site
Industry UsageResearch institutions, environmental agenciesResort safety, outdoor safety organizations
Search & Comparison IntentUnderstanding remote snow research rolesAssessing avalanche safety careers

Remote Snow Science involves analyzing snow and environmental data remotely, often focusing on research and environmental monitoring. Remote Avalanche Technicians primarily perform field assessments and safety evaluations related to snowpack stability. While both roles require snow-related certifications, Remote Snow Science emphasizes data analysis and research, whereas Remote Avalanche Technician focuses on safety and fieldwork. The choice depends on whether you prefer remote research or field safety roles within the snow industry.

What is remote snow science?

Remote snow science is the study and monitoring of snowpack, snow cover, and related atmospheric conditions using remote sensing technologies. This field utilizes satellites, drones, and other remote instruments to collect data in areas that are difficult or dangerous to access directly. Remote snow scientists analyze this data to assess avalanche risks, water resources, and climate change impacts. Their work is essential for improving weather forecasting, managing water supplies, and ensuring public safety in snowy regions.

What are the key skills and qualifications needed to thrive as a Remote Snow Scientist, and why are they important?

To thrive as a Remote Snow Scientist, you need expertise in meteorology, hydrology, and geosciences, often supported by a relevant degree and field research experience. Familiarity with remote sensing technologies, GIS software, and data analysis tools is typically required. Strong problem-solving, communication, and collaboration skills help you interpret data and work with diverse teams in challenging environments. These skills are crucial to accurately assess snowpack, predict avalanche risk, and inform critical environmental and safety decisions.
More about Remote Snow Science jobs
What cities are hiring for Remote Snow Science jobs? Cities with the most Remote Snow Science job openings:
What are the most commonly searched types of Snow Science jobs? The most popular types of Snow Science jobs are:
What states have the most Remote Snow Science jobs? States with the most job openings for Remote Snow Science jobs include:
What job categories do people searching Remote Snow Science jobs look for? The top searched job categories for Remote Snow Science jobs are:
Remote Snow Science jobs near you
Infographic showing various Remote Snow Science job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Senior Cancer Registrar (Part-Time Consultant / Domain Advisor)

Senior Cancer Registrar (Part-Time Consultant / Domain Advisor)

John Snow Labs

Remote

Contractor

Re-posted 20 days ago

Job description

Company Description
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.
John Snow Labs is the developer of Spark NLP - the world's most widely used NLP library in the enterprise - and is the world's leading provider of state-of-the-art clinical NLP software, powering some of the world's largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master's degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.
Job Description
We are seeking a highly experienced Certified Tumor Registrar (CTR) to join our team as a part-time domain expert and process advisor.
This long-term collaboration aims to deepen our understanding of oncology registry workflows, data abstraction standards, and interoperability processes across population-based and hospital-based cancer data systems.
The role is ideal for a senior registrar who enjoys sharing expertise, advising on best practices, and helping non-registry professionals translate complex oncology data workflows into digital, interoperable systems.sider?
Qualifications
Key Responsibilities
  • Serve as a subject matter expert (SME) on cancer registry data standards, abstraction workflows, and reporting requirements.
  • Provide structured walkthroughs of the registry lifecycle - from casefinding, abstraction, coding, QA, to submission and feedback.
  • Advise on the interpretation of data dictionaries, staging schemas, and coding logic used across U.S. registries.
  • Help our team understand the daily workflow of registrars, including interaction with EHRs, pathology feeds, and state/federal reporting systems.
  • Review data models, variable mappings, and potential automation use cases for consistency with registry standards.
  • Participate in periodic review meetings (remote) to guide technical and product teams on oncology data conventions.
  • Provide occasional feedback on UI/UX mockups, training materials, or registry-related data capture prototypes.

Qualifications & Experience
  • Certified Tumor Registrar (CTR) credential in good standing (required).
  • 5-10+ years of hands-on experience in cancer registry operations, ideally including both facility-based and central registry settings.
  • Deep familiarity with:
    • Cancer case abstraction, staging, and coding conventions.
    • Data validation and QA workflows.
    • NAACCR-style data items.
    • Common registry abstraction and validation tools used in the field.
    • Reporting workflows to state or national programs (e.g., population-based or accreditation-related systems).
  • Understanding of AJCC, TNM, ICD-O, SSDI, and associated coding frameworks.
  • Excellent communication skills and ability to translate complex registry processes for interdisciplinary teams.

Screening Questions
Please include detailed answers to the following when applying:
  1. Experience Summary:
    Describe your current or most recent role as a cancer registrar. What types of cases and data systems did you work with (e.g., hospital-based, central registry, or research registry)?
  2. Registry Lifecycle Familiarity:
    Briefly outline the process you follow from casefinding to submission, including your QA and validation steps.
  3. Technical Exposure:
    What registry abstraction or data validation tools have you used most extensively? (You may describe their function rather than naming proprietary systems.)
  4. Data Standards Expertise:
    Which coding manuals and data dictionaries do you use daily, and how do you stay current with annual updates?
  5. Teaching / Advisory Experience:
    Have you ever trained or mentored new registrars, or collaborated with technical teams on data or workflow projects?
  6. Availability & Collaboration Style:
    How many hours per week can you commit? What time zones or scheduling preferences should we con

Additional Information
Our Commitment to You
At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive.
We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
  • We are a fully virtual company, collaborating across 28 countries.
  • This is a contract opportunity, not a full-time employment role.

Engagement Details
  • Type: Part-time / contract (long-term collaboration)
  • Hours: ~8-10 hours per week (flexible scheduling)
  • Location: Remote (U.S.-based)
  • Duration: Ongoing; renewable based on project milestones
  • Compensation: Competitive hourly consulting rate, commensurate with expertise

Apply