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Remote Implementation Science Jobs in Poughkeepsie, NY

The Informatics Nurse I supports the evaluation, election and implementation of clinical systems ... Bachelors degree in Nursing, other related clinical field or Computer Science, Management ...

Remote Implementation Science information

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$26

$50

$79

How much do remote implementation science jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote implementation science in Poughkeepsie, NY is $50.79, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $60.34 per hour, depending on experience, location, and employer.

What is the difference between Remote Implementation Science vs Remote Health Program Coordinator?

AspectRemote Implementation ScienceRemote Health Program Coordinator
Required CredentialsMaster's or PhD in public health, healthcare, or related fields; knowledge of research methodsBachelor's degree in health administration, public health, or related fields; experience in healthcare coordination
Work EnvironmentFocus on research, data analysis, and strategy development in healthcare settingsManage health programs, coordinate activities, and liaise with stakeholders remotely
Employer & Industry UsageAcademic institutions, research organizations, healthcare agenciesHospitals, clinics, public health departments

Remote Implementation Science professionals focus on applying research findings to improve healthcare practices through data analysis and strategy development. In contrast, Remote Health Program Coordinators manage and coordinate health programs, ensuring smooth operations and stakeholder communication. While both roles work remotely in healthcare, their core responsibilities and required qualifications differ significantly.

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What cities near Poughkeepsie, NY are hiring for Remote Implementation Science jobs? Cities near Poughkeepsie, NY with the most Remote Implementation Science job openings:
Postdoctoral Associate - Forest Futures Lab/Western Fire and Forest Resilience Collaborative

Postdoctoral Associate - Forest Futures Lab/Western Fire and Forest Resilience Collaborative

Cary Institute of Ecosystem Studies

Millbrook, NY • Remote

Full-time

Re-posted 19 days ago


Job description

Salary transparency statement This is a full-time, fully benefitted exempt position with a one-year initial appointment, renewable for an additional year contingent on performance and funding. Annual salary starts at $74,263.00 , based on postdoctoral experience, with a highly competitive benefits and time-off package.

Position Summary

The Cary Institute of Ecosystem Studies seeks a collaborative, synthetic postdoctoral associate to join the Western Fire and Forest Resilience Collaborative and the Forest Futures Lab. The Fire Collaborative includes 12 science teams and a team of boundary spanners working together to advance predictive science in fire ecology and ecosystem resilience in ways that are actionable for western US land managers. The postdoctoral associate will integrate remote sensing and geospatial data to determine how fire regimes affect western US river runoff and the drivers of fire-water relationships. This role offers leadership opportunities and the freedom to pursue independent research within a supportive and nurturing lab environment.

The position is based at the Cary Institute in the beautiful Hudson Valley of New York, a short way north of New York City. The Cary Institute is home to a diverse, vibrant, and supportive community of colleagues. The anticipated start date is on or around January 4th, 2027.

Questions about the position may be directed to Dr. Winslow Hansen at the Cary Institute.

Essential Responsibilities

Present research findings in peer-reviewed papers, at scientific meetings, and in other forums.

Work with colleagues in the Fire Collaborative to develop, lead, and implement independent research that enhances fire ecology and ecosystem resilience strategies.

Leverage remote sensing and geospatial data in AI and Bayesian analytical frameworks to characterize relationships between fire and subsequent river runoff in western US watersheds.

Engage with Collaborative boundary spanners, scientists, policymakers, and stakeholders to ensure research findings effectively inform fire and forest management strategies.

Contribute to a dynamic and interdisciplinary research environment at the Cary Institute.

Required Qualifications

Ph.D. in forest ecology, disturbance ecology, remote sensing, AI, or a related field prior to appointment.

Demonstrated expertise in Earth observation, ecological remote sensing, fire ecology.

Experience working with western US practitioners for producing actionable science.

Strong quantitative and analytical skills, particularly with Bayesian and AI-based analyses.

Ability to work independently.

Proficiency with Google Earth Engine.

Strong written and oral communication skills.

Proficiency in programming languages such as R, Python, Java script.

Preferred Qualifications (Not required in every job description only as needed)

Past postdoctoral experience.

Proven record of successful collaboration in team-science environments.

Past experience linking terrestrial disturbances with outcomes in adjacent freshwater systems.

Past experience using remote sensing to characterize ecological disturbance in western landscapes.

Working Conditions

Full-time, Exempt, fully benefitted position.

Occasional travel for field work or meetings is required.

Will require computer work for 7 hours or more a day.

Closing Date: Review of applications will begin 05/19/2026

To Apply:

Visit our website at https://www.caryinstitute.org/... and complete our online job application. Please submit one document that includes a cover letter (no more than 2 pages) describing research interests, CV, and contact information for three references. The Cary Institute is an Equal Employment Opportunity (EEO) employer. It is the policy of the Institute to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, familial status, protected veteran or disabled status, or genetic information.

Employment Type: FULL_TIME