ZipRecruiter

Log In

1

Environmental Data Validation Chemist Jobs in Rochester, MN

Sapsol Technologies Inc

Medical Engineer

Rochester, MN · On-site

Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior ... Experience with Philips MRI research environments (e.g., research interfaces, integration workflows)

SAPSOL Technologies Inc

Medical Engineer

Rochester, MN · On-site

Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior ... Experience with Philips MRI research environments (e.g., research interfaces, integration workflows)

micro1 AI

AI Trainer - Microbiology Expert

Rochester, MN · Remote

$70 - $90/hr

... data quality and support AI training workflows. Required Skills and Qualifications: * Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive knowledge of ...

next page

Showing results 1-20

All JobsEnvironmental Data Validation Chemist JobsEnvironmental Data Validation Chemist Jobs in Rochester, MN

Environmental Data Validation Chemist information

See Rochester, MN salary details

$17

$31

$53

How much do environmental data validation chemist jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for environmental data validation chemist in Rochester, MN is $31.50, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $36.15 per hour, depending on experience, location, and employer.

What is the difference between Environmental Data Validation Chemist vs Environmental Laboratory Technician?

AspectEnvironmental Data Validation ChemistEnvironmental Laboratory Technician
CredentialsBachelor's degree in Chemistry, Environmental Science, or related field; certifications may be preferredAssociate degree or relevant technical training; certifications vary
Work EnvironmentLaboratories, field sites, data analysis settingsLaboratories, field sampling locations
Job FocusValidating and analyzing environmental data, ensuring data quality and complianceCollecting samples, preparing lab tests, operating lab equipment

The Environmental Data Validation Chemist primarily focuses on verifying and analyzing environmental data to ensure accuracy and compliance, often working with complex datasets. In contrast, the Environmental Laboratory Technician is more involved in sample collection, preparation, and running tests. Both roles are essential in environmental testing but differ in responsibilities and required qualifications.

What are the most common challenges faced by environmental data validation chemists, and how can they be addressed?

Environmental Data Validation Chemists frequently encounter challenges such as inconsistent or incomplete laboratory data, tight project deadlines, and the need to comply with complex regulatory standards. Addressing these challenges often involves developing strong attention to detail, maintaining clear communication with laboratory staff and project managers, and staying up to date with the latest EPA and state guidelines. Collaborating closely with multidisciplinary teams and utilizing robust validation software can also help ensure data quality and streamline the validation process.

What does an environmental data validation chemist do?

An Environmental Data Validation Chemist is responsible for reviewing and verifying analytical data from laboratory tests to ensure accuracy, completeness, and compliance with environmental regulations and standards. They assess data generated from environmental samples—such as soil, water, and air—to identify any errors or inconsistencies. Their work ensures that the data used in environmental assessments and regulatory reporting is reliable and meets the required quality standards.

What are the key skills and qualifications needed to thrive as an environmental data validation chemist?

Success as an Environmental Data Validation Chemist requires a solid background in chemistry or environmental science, experience with analytical methods (such as EPA SW-846), and a relevant degree (often a bachelor's or higher). Familiarity with laboratory information management systems (LIMS), data validation software, and certifications like NELAC or ISO 17025 are commonly needed. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting complex data and collaborating with project teams. These competencies ensure accurate, regulatory-compliant data reporting essential for environmental decision-making and public safety.
What are popular job titles related to Environmental Data Validation Chemist jobs in Rochester, MN? For Environmental Data Validation Chemist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Environmental Data Validation Chemist jobs in Rochester, MN look for? The top searched job categories for Environmental Data Validation Chemist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Environmental Data Validation Chemist jobs? Cities near Rochester, MN with the most Environmental Data Validation Chemist job openings:
Environmental Data Validation Chemist jobs near you
Infographic showing various Environmental Data Validation Chemist job openings in Rochester, MN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $65,529 per year, or $31.5 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