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Remote Environmental Statistician Jobs (NOW HIRING)

Rebellion Defenses

Remote Data Scientist

Jackson, MS · On-site +1

Strong understanding of statistical methods and machine learning techniques. * Experience with data ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

Cytel

Principal Statistical Programmer FSP

... team environment with cross-cultural partners. Job Info * Job Identification 1583 * Job Category Statistical Programming - FSP * Posting Date 05/28/2026, 12:08 AM * Locations Remote, Pune ...

Mineralys Therapeutics

Director, Statistical Programming

OR · Remote

$235K - $248K/yr

... fully remote company. Director Statistical Programmer The Director Statistical Programing (SP ... With IT, defines our programming environment and its validation * Responsible for the development ...

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Remote Environmental Statistician information

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How much do remote environmental statistician jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote environmental statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Environmental Statistician, and why are they important?

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.

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.
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Remote Environmental Statistician jobs near you
Infographic showing various Remote Environmental Statistician job openings in the United States as of June 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Statistical Analytical Programmer

Slipstream IT

Blue Bell, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream’s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10+ years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.

Job Overview:

The Statistical Analytical Programmer plays a key role in turning complex EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.

Working closely with epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.

Responsibilities and Duties:

  • Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
  • Build, validate, and maintain SAS programs for analysis datasets and study outputs.
  • Transform raw real-world data sources—including EMR, EHR, claims, and registries—into accurate, traceable, analysis-ready datasets.
  • Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
  • Document programming decisions and dataset derivations to support reproducibility and audit readiness.
  • Review and validate SAS code and outputs developed by other programmers.
  • Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
  • Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.

Qualification:

  • Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
  • Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
  • Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. Able to work independently in a remote environment and manage timelines effectively.

Preferred Qualifications:

  • Experience with R for data analysis, programming, or statistical workflows is highly beneficial.
  • Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.

Travel: 10% at the most

Benefits

  • 401k match
  • Comprehensive group health, dental, vision benefits
  • Life insurance/LTD
  • Discretionary PTO

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer

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