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Remote Environmental Data Scientist Jobs in Rochester, MN

Enara Health

Remote Exercise Specialist

Rochester, MN · On-site +1

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Enara Health

Remote Exercise Specialist

Rochester, MN · Remote

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

Enara Health

Remote Exercise Specialist

Rochester, MN · Remote

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

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All JobsEnvironmental Data Scientist JobsRemote Environmental Data Scientist JobsRemote Environmental Data Scientist Jobs in Rochester, MN

Remote Environmental Data Scientist information

See Rochester, MN salary details

$38.1K

$124.8K

$199.7K

How much do remote environmental data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote environmental data scientist in Rochester, MN is $124,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,200.00 per year, depending on experience, location, and employer.

What is a remote environmental data scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

How does a remote environmental data scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

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

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

What is the difference between Remote Environmental Data Scientist vs Remote Environmental Analyst?

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

What are the most commonly searched types of Environmental Data Scientist jobs in Rochester, MN? The most popular types of Environmental Data Scientist jobs in Rochester, MN are:
What are popular job titles related to Remote Environmental Data Scientist jobs in Rochester, MN? For Remote Environmental Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Scientist jobs in Rochester, MN look for? The top searched job categories for Remote Environmental Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Remote Environmental Data Scientist jobs? Cities near Rochester, MN with the most Remote Environmental Data Scientist job openings:
Remote Environmental Data Scientist jobs near you
Infographic showing various Remote Environmental Data Scientist job openings in Rochester, MN as of July 2026, with employment types broken down into 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,763 per year, or $60 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, MN • Remote

$90 - $120/hr

Part-time

Posted 10 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