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Manager Environmental Data Scientist Jobs in Springfield, IL

NEOGOV

Data Analyst 23-E-36

Springfield, IL · On-site

Required : • Bachelor's degree in economics, information technology, computer science, accounting ... NEOGOV is the leading provider of workforce management software uniquely designed for the public ...

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All JobsEnvironmental Data Scientist JobsManager Environmental Data Scientist JobsManager Environmental Data Scientist Jobs in Springfield, IL

Manager Environmental Data Scientist information

See Springfield, IL salary details

$37.2K

$121.6K

$194.8K

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

As of Sep 14, 2026, the average yearly pay for manager environmental data scientist in Springfield, IL is $121,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 per year, depending on experience, location, and employer.

What is the difference between Manager Environmental Data Scientist vs Environmental Data Scientist?

AspectManager Environmental Data ScientistEnvironmental Data Scientist
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; often requires leadership experienceBachelor's or Master's in Environmental Science, Data Science, or related fields; technical expertise in data analysis
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, develops models, supports environmental research
Employer & Industry UsageUsed in organizations with environmental departments, government agencies, consulting firmsCommon in research institutions, environmental agencies, private sector companies

The main difference is that the Manager Environmental Data Scientist oversees teams and projects, focusing on leadership and strategic planning, while the Environmental Data Scientist primarily conducts data analysis and modeling to support environmental initiatives.

What cities near Springfield, IL are hiring for Manager Environmental Data Scientist jobs?

Cities near Springfield, IL with the most Manager Environmental Data Scientist job openings:

Manager Environmental Data Scientist jobs near you

AI Training Specialist - Life Sciences

Springfield, IL • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$90 - $120/hr

Part-time

Re-posted 18 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