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Science Associate

🕒 3 days ago
Environmental Data AnalysisPythonSQLGIS
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📜 Description

  • Gather, manage, and evaluate large environmental datasets; design quantitative analyses and apply statistical methods.
  • Conduct GIS spatial analyses and synthesize scientific, field, and literature-based information.
  • Support ecological, biological, groundwater, and surface water assessments, including evaluating contaminant sources, pathways, and extent.
  • Manage and quality-check environmental chemistry datasets, documenting reproducible and defensible methods.
  • Review technical and remedial documents, draft study plans and assessment deliverables, and communicate findings in reports and presentations.
  • Work independently on project teams and direct or review junior staff work.

🛠️ Requirements

  • A Master’s degree or PhD (or international equivalent) in ecology, biology, toxicology, geology, chemistry, hydrogeology, hydrology, or similar field.
  • Demonstrated experience with data analysis in a scripting or database environment (e.g., Python, R).
  • One type of additional quantitative skill, such as GIS, geostatistics, relational database design, or other proficiency related to science.

✨ Benefits

  • Medical insurance
  • Dental insurance
  • Health Savings Account contributions
  • Retirement savings contributions
  • Employee Assistance Program
  • Flexible vacation and holiday time
  • Financial support for relevant professional development
  • Sick time
  • Paid family and medical leave
  • Commuter benefits
Full job description

Industrial Economics, Incorporated (IEc) provides consulting services for natural resource managers, regulators, attorneys, and other clients involved in public policy development and implementation. Our staff applies expertise in science, policy, economics, engineering, and data analysis and management to cutting-edge environmental and natural resource policy and management issues. We are known for developing smart, objective analyses to address high-profile environmental and public policy problems, leveraging a unique combination of analytic rigor and creativity.

Position: Scientist to support natural resource damage assessment, oil spill assessment, environmental impact analyses, remedial investigations, applied natural resource management, and restoration planning.


Responsibilities: IEc Science Associates gather, manage, and evaluate large environmental datasets; design and implement quantitative analyses using a variety of scientific methods; synthesize existing information; conduct GIS spatial analyses; apply statistical methods; interpret and communicate results; write reports; and present findings. Science Associates often work on specific sites, assisting clients with natural resource damage assessments, impact analyses, field and literature-based research, and restoration project planning and monitoring, including recommending modifications to approaches or methodologies to achieve project objectives.

In this position, Science Associates will support ecological, biological, groundwater, and surface water assessments, including characterization of contaminant sources and pathways; evaluation of the spatial and temporal extent of contamination; and identification and evaluation of restoration options. The Science Associate may take a lead role in data management and quality assurance for large environmental chemistry datasets spanning multiple media and data providers, including documenting methods so that work is reproducible and defensible over multi-year cases. The role also involves reviewing remedial and technical documents as a primary source of site data, drafting technical and milestone deliverables (e.g., study plans, data gaps analyses, assessment and restoration planning documents), and working in database and coding environments (e.g., SQL, Python, R) and spatial analysis software (e.g., ArcGIS Pro). Associates are part of project teams, are responsible for independent work, and commonly direct and review the work of junior staff.

Required Qualifications

• A Master’s degree or PhD (or international equivalent) in ecology, biology, toxicology, geology, chemistry, hydrogeology, hydrology, or similar field.

• Demonstrated experience with data analysis in a scripting or database environment (e.g., Python, R).

• One type of additional quantitative skill, such as GIS, geostatistics, relational database design, or other proficiency related to science.

Compensation and Advancement

• IEc offers competitive salaries ranging from $70,000 to $90,000 commensurate with experience, as well as an annual performance bonus averaging 10% of annual salary.

• We are committed to the health and well-being of our staff and provide excellent benefits, including quality medical and dental insurance with contributions to a Health Savings Account; generous contributions to retirement savings; an Employee Assistance Program; flexible vacation/holiday time; financial support for relevant professional development opportunities; sick time and short- and long-term disability; paid family and medical leave; commuter benefits; recreational and social opportunities; and more.

• IEc is committed to growth from within and supports the professional development of our staff. We frequently promote Associates to senior positions at the firm.


Position Location: IEc’s office is located in Cambridge, MA. This position requires presence in the office at least three days a week, with remaining days as an optional hybrid working arrangement.

Position Start Date: Immediate

To apply, you must upload all of the following materials: Cover letter; resume; undergraduate and graduate transcripts; writing sample that should be authored solely by you (must be no more than 5 pages in length, which can be an excerpt from a longer paper, and include some type of technical information/analysis). To apply, please visit our website at www.indecon.com/open-positions

Industrial Economics is an equal opportunity employer and complies with all applicable EEOC regulations. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.


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