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Remote Lab Data Analyst Jobs in Beacon, NY (NOW HIRING)

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Lead and mentor a team of remote consultants, supporting their development and optimizing workload ... Conduct critical path analysis, schedule reviews, and coordination meetings with project teams and ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Data Infrastructure & Governance * Build and maintain semantic models and data pipelines in ...

Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Data Infrastructure & Governance * Build and maintain semantic models and data pipelines in ...

This role requires a strong understanding of secure data exchange, industrial protocols, remote ... Perform market research, competitive analysis, and customer discovery to validate requirements and ...

VP/Director of Engineering (Remote)

Ridgefield, CT ยท On-site +1

$179K - $231K/yr

... analytics, and an exceptional retail network to deploy solutions that simplify the compliant ... data stores, implementations, tech stack selections, and build versus buy decisions. You will have ...

SAP Solution Architect - Mid Market

Carmel, NY ยท Remote

$82.75 - $111.50/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Data & Analytics, Automation, and SAP BTP. * Communicate business value, modernization ...

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Remote Lab Data Analyst information

See Beacon, NY salary details

$10

$27

$47

How much do remote lab data analyst jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote lab data analyst in Beacon, NY is $27.38, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $32.55 per hour, depending on experience, location, and employer.

How does a Remote Lab Data Analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What are the key skills and qualifications needed to thrive as a Remote Lab Data Analyst, and why are they important?

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What is a Remote Lab Data Analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.
What job categories do people searching Remote Lab Data Analyst jobs in Beacon, NY look for? The top searched job categories for Remote Lab Data Analyst jobs in Beacon, NY are:
What cities near Beacon, NY are hiring for Remote Lab Data Analyst jobs? Cities near Beacon, NY with the most Remote Lab Data Analyst job openings:
Infographic showing various Remote Lab Data Analyst job openings in Beacon, NY as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,947 per year, or $27.4 per hour.

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

Cary Institute of Ecosystem Studies

Millbrook, NY โ€ข Remote

Full-time

Re-posted 9 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