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Phd In Environmental Science Jobs in Topeka, KS (NOW HIRING)

TERRACON

Assistant Project Manager

Topeka, KS · On-site

Bachelor's degree in technical discipline practices by the Firm including Engineering, Environmental Science or Geology and a minimum of 2 years' related experience. Or, in lieu of a degree, a ...

TERRACON

Assistant Project Manager

Topeka, KS

Bachelor's degree in technical discipline practices by the Firm including Engineering, Environmental Science or Geology and a minimum of 2 years' related experience. Or, in lieu of a degree, a ...

Actalent

Engineering Lab Technician

Topeka, KS

$18 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate degree or coursework in Civil Engineering Technology, Construction Management, Geology, Environmental Science, or a related field. * ACI, NICET, DOT, or other industry certifications. Work ...

Actalent

Engineering Lab Technician

Topeka, KS

$18 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate degree or coursework in Civil Engineering Technology, Construction Management, Geology, Environmental Science, or a related field. * ACI, NICET, DOT, or other industry certifications. Work ...

micro1 AI

AI Training Specialist - Chemistry

Topeka, KS · Remote

$70 - $90/hr

... scientific and research domain. In this role, you'll apply your expertise to help train next ... Advanced degree (PhD preferred) in Chemistry or closely related field. * Extensive hands-on ...

micro1 AI

Medical Billing Specialist

Topeka, KS · Remote

$50 - $80/hr

Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience. * Experience across multiple clinical phases and therapeutic areas ...

micro1 AI

Medical Writing Manager

Topeka, KS · Remote

$50 - $80/hr

Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience. * Experience across multiple clinical phases and therapeutic areas ...

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Phd In Environmental Science information

See Topeka, KS salary details

$38.6K

$79.2K

$115.8K

How much do phd in environmental science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for phd in environmental science in Topeka, KS is $79,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $92,700.00 per year, depending on experience, location, and employer.

Which country is best for a PhD in environmental science?

The best country for a PhD in environmental science depends on research opportunities, funding, and faculty expertise. Countries with strong environmental research programs and international collaborations, such as the United States, the United Kingdom, Germany, and Australia, are often preferred by students. Consider factors like language, research facilities, and post-graduation employment prospects when choosing a country for your PhD.

What career paths are available after earning a PhD in Environmental Science?

With a PhD in Environmental Science, graduates can pursue diverse career paths in academia, industry, government, and non-profit sectors. Many choose academic roles such as university professors or researchers, while others lead environmental research projects in government agencies or private companies. There are also opportunities in policy analysis, environmental consulting, and leadership positions in NGOs. The advanced research skills and expertise gained during the PhD program open doors to roles that shape environmental policy, drive innovation, and contribute to solving global environmental challenges.

Is it worth getting a PhD in environmental science?

A PhD in environmental science prepares individuals for research, academia, and specialized roles in environmental policy and consulting. It can lead to higher-level positions and increased earning potential but requires significant time and effort. Job prospects often depend on research experience, technical skills, and the ability to communicate complex data effectively.

What is a PhD in Environmental Science?

PhD in Environmental Science programs are advanced academic courses of study that prepare students to conduct original research addressing issues related to the environment. These programs typically involve coursework in environmental theory, advanced research methods, and specialized topics such as ecology, climate change, pollution, and sustainable development. Students are required to complete a dissertation based on independent research, which contributes new knowledge to the field. Graduates often pursue careers in academia, research institutions, government agencies, or environmental consulting organizations.

What are the key skills and qualifications needed to thrive as a PhD in Environmental Science?

To thrive as a PhD in Environmental Science, you need advanced expertise in environmental research methods, data analysis, and a strong foundation in ecological and scientific principles, typically achieved through doctoral-level education. Familiarity with statistical software (such as R or Python), GIS tools, laboratory instrumentation, and peer-reviewed publication processes is often required. Strong communication, problem-solving, and interdisciplinary collaboration skills help you address complex environmental issues and convey findings to diverse audiences. These abilities are essential for producing impactful research, influencing policy, and advancing sustainability in academic, governmental, or industry roles.

What can I do with a PhD in environmental science?

A PhD in environmental science prepares individuals for research, academia, policy development, and consulting roles focused on environmental issues, sustainability, and conservation. Graduates often work for government agencies, environmental organizations, or private companies, utilizing skills in data analysis, fieldwork, and environmental modeling. Advanced knowledge and research experience are essential for leadership positions and specialized technical roles.

What is the difference between Phd In Environmental Science vs Environmental Consultant?

AspectPhd In Environmental ScienceEnvironmental Consultant
Required CredentialsDoctorate degree in Environmental ScienceBachelor's or Master's degree, often with relevant certifications
Work EnvironmentResearch labs, universities, academic settingsConsulting firms, government agencies, private companies
Industry UsageAcademic research, higher education, policy developmentEnvironmental assessments, compliance, project management

While a Phd In Environmental Science focuses on advanced research and academic roles, an Environmental Consultant applies environmental knowledge to practical projects and compliance efforts. Both roles require a strong foundation in environmental science, but they differ in work environment and career focus.

What are popular job titles related to Phd In Environmental Science jobs in Topeka, KS?

For Phd In Environmental Science jobs in Topeka, KS, the most frequently searched job titles are:

What job categories do people searching Phd In Environmental Science jobs in Topeka, KS look for?

The top searched job categories for Phd In Environmental Science jobs in Topeka, KS are:

Phd In Environmental Science jobs near you
Infographic showing various Phd In Environmental Science job openings in Topeka, KS as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $79,168 per year, or $38.1 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Topeka, KS • Remote

$80 - $110/hr

Part-time

Posted 12 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply