2

Remote Environmental Statistician Jobs in Washington

As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis ... Elder Research provides a supportive work environment with established parental, bereavement, and ...

As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis ... Elder Research provides a supportive work environment with established parental, bereavement, and ...

... another environment where research is routinely conducted. -Demonstrated record of scientific ... A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics ...

Overview Biostatistician US Remote Emmes Group: Building a better future for us all. Emmes Group is ... Writing sections of protocols that require statistical input; * Reviewing protocols and case report ...

Overview Senior Biostatistician US Remote Emmes Group: Building a better future for us all. Emmes ... Manages statistical activities for a clinical study or platform of clinical studies.

Overview Senior Biostatistician US Remote Emmes Group: Building a better future for us all. Emmes ... Manages statistical activities for a clinical study or platform of clinical studies.

Overview Senior Biostatistician Manager US Remote Emmes Group: Building a better future for us all ... Primary Purpose Oversees statistical activities and deliverables across a broad research area ...

next page

Showing results 1-20

Remote Environmental Statistician information

What does a remote environmental statistician do?

A Remote Environmental Statistician analyzes data related to environmental science, such as air or water quality, climate change, and ecological impacts. Working remotely, they use statistical methods and software to interpret complex datasets, design experiments, and provide insights that help guide environmental policy and research. Their work supports organizations and researchers in making data-driven decisions to address environmental challenges. They often collaborate with scientists, policymakers, and other stakeholders, sharing their findings through reports and presentations.

What skills and qualifications are needed to thrive as a remote environmental statistician?

To thrive as a Remote Environmental Statistician, you need strong statistical analysis skills, a solid background in environmental science, and at least a bachelor's or master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, as well as experience with GIS systems and data visualization tools, is typically required. Excellent communication, problem-solving, and self-motivation are essential soft skills for collaborating across remote teams and interpreting complex data. These skills ensure accurate data-driven insights that support critical environmental decision-making and policy development.

How does a remote environmental statistician typically collaborate with multidisciplinary teams across different locations?

As a Remote Environmental Statistician, collaboration is often conducted virtually with ecologists, environmental scientists, data engineers, and policy analysts. Regular video meetings, shared project management tools, and cloud-based data platforms are used to coordinate analyses and ensure clear communication. Effective collaboration requires proactive communication skills, adaptability to different time zones, and a strong understanding of the environmental context behind the data. These interactions help statisticians stay aligned with project goals and contribute valuable insights to environmental decision-making.

Are remote environmental statistician jobs in demand?

Remote environmental statistician jobs are in increasing demand due to growing environmental concerns and the need for data analysis in sustainability efforts. Skills in statistical software, data management, and environmental science are highly valued, and remote work options are expanding across the industry.

Can you work remotely as a remote environmental statistician?

Remote environmental statisticians can often work from home, especially if their role involves data analysis, statistical modeling, and reporting, which can be performed using computer software and online collaboration tools. Many employers in this field offer remote positions, but some roles may require occasional on-site visits or fieldwork depending on the project. Strong skills in statistical software, data management, and communication are essential for remote work success in this role.

How to become a remote environmental statistician?

To become a remote environmental statistician, typically a bachelor's degree in statistics, environmental science, or a related field is required, often followed by a master's or higher for advanced roles. Strong skills in statistical software, data analysis, and environmental data are essential, along with experience in remote work environments and good communication skills.

What are the most commonly searched types of Environmental Statistician jobs in Washington?

The most popular types of Environmental Statistician jobs in Washington are:

What are popular job titles related to Remote Environmental Statistician jobs in Washington?

For Remote Environmental Statistician jobs in Washington, the most frequently searched job titles are:

Senior Evaluation Methodologist / Statistician

Vienna, VA โ€ข On-site, Remote

$87K - $107K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Integrated Business & Technical Consultants, Inc. (IBTCI), a U.S.-based international development consulting company established in 1987, has worked in over 100 countries and implemented over 300 projects. IBTCI serves government agencies, private-sector companies, and donor organizations. IBTCI specializes in monitoring, evaluation, research, and learning (MERL) and institutional support across sectors including conflict and crisis, democracy and governance, agriculture, economic growth, food security, education, environment, and global health.

Assignment Title: Senior Evaluation Methodologist / Statistician

Department/Location: Remote, with potential travel to Ethiopia, Ukraine, Haiti, the Philippines, and/or Türkiye

Technical Point of Contact: Team Leader

Type: Consultant, Short-term / Intermittent

Classification: Consultancy

Overview: IBTCI is seeking a Senior Evaluation Methodologist / Statistician to lead quantitative and causal-design components of a proposed Livelihoods Framework and Evaluations assignment. The expert will design proportionate tiers of rigor, sampling strategies, surveys, comparison-group approaches, statistical analysis, and empirical reliability tests that support credible project-level findings and cross-project comparability. Highly rigorous randomized controlled trials are not sought; the role will emphasize feasible, ethical performance and quasi-experimental approaches appropriate to project size, timing, data availability, and operational realities.

Essential Duties/Tasks and Responsibilities:

  • Lead the quantitative methodology for the standardized livelihoods framework and project evaluations, ensuring alignment between evaluation questions, indicators, designs, instruments, samples, and analyses.
  • Develop project-specific tiers of rigor and recommend feasible designs based on project budget, status, baseline availability, implementation model, security, and access.
  • Design ethical comparison-group and quasi-experimental strategies for larger projects when feasible, including matched comparisons, difference-in-differences, interrupted time series, phased rollout, and other defensible approaches.
  • Develop sampling frames, stratification and clustering approaches, sample-size and precision calculations, weighting procedures, nonresponse strategies, replacement rules, and documentation suitable for project-level inference and cross-project comparison.
  • Design and review short- and long-term outcome surveys, monitoring checklists, vetting instruments, common indicator specifications, response scales, and quantitative components of scorecards.
  • Design and oversee empirical inter-rater reliability testing, including selection of appropriate statistics such as kappa coefficients, intraclass correlation coefficients, or agreement measures; recommend benchmarks and revision rules.
  • Prepare statistical analysis plans and reproducible syntax; conduct or oversee data cleaning, descriptive and inferential analysis, regression, subgroup and sensitivity analyses, missing-data treatment, and visualization.
  • Use SPSS and/or Stata as primary analysis platforms and review statistical outputs for accuracy, assumptions, robustness, and appropriate interpretation.
  • Work with data-management staff to establish validation rules, derived variables, data dictionaries, quality-control checks, and secure transfer procedures.
  • Contribute methods, limitations, findings, and technical annexes to evaluation plans, reports, scorecards, slide decks, and presentations; explain complex methods clearly to nontechnical stakeholders.

Minimum Qualifications:

  • At least 10 years of professional experience in evaluation methodology, statistics, econometrics, survey research, experimental or quasi-experimental design, or applied quantitative research.
  • Demonstrated expertise in sampling, survey design, power or precision calculations, and analysis of complex survey or program data.
  • Demonstrated experience with quasi-experimental methods such as difference-in-differences, interrupted time series, matching, or comparable causal-inference approaches.
  • Advanced proficiency in SPSS and/or Stata, including reproducible syntax and quality review of statistical analysis.
  • Experience designing multi-country or multi-site instruments and harmonized indicators for cross-project or cross-country comparison.
  • Experience developing and testing instrument reliability and validity, including inter-rater reliability.
  • Ability to communicate technical decisions, assumptions, limitations, and findings to technical and nontechnical audiences.
  • Excellent written and oral communication skills in English.

Education: Advanced degree in statistics, econometrics, evaluation, economics, quantitative social science, survey methodology, or a closely related field.

Preferred Knowledge, Skills, and Abilities:

  • Experience evaluating livelihoods, agriculture, food security, resilience, enterprise development, or market-systems programs.
  • Experience designing ethically defensible comparison groups in humanitarian, fragile, or conflict-affected settings.
  • Experience in one or more target countries or regions.

Work environment: This position is primarily remote and requires concentrated computer-based analysis and collaboration across time zones.

Physical Requirements: This position requires the ability to speak, hear, see, use a computer or mobile device, and lift small objects up to 20 lbs. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Supervisory Responsibility: This position does not have supervisory responsibility.

Travel: Limited international travel may be required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this assignment. Duties, responsibilities, and activities may change at any time with or without notice.