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Remote Field Data Scanner Jobs in Coram, NY (NOW HIRING)

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

... the tech field. In this role, you will review, assess, and contribute to contract redlining ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Remote Field Data Scanner information

See Coram, NY salary details

$14

$25

$40

How much do remote field data scanner jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote field data scanner in Coram, NY is $25.95, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $32.74 per hour, depending on experience, location, and employer.

What is the difference between Remote Field Data Scanner vs Remote Data Collector?

AspectRemote Field Data ScannerRemote Data Collector
CredentialsTypically requires data collection or scanning certifications, technical skillsOften requires data entry or basic technical certifications
Work EnvironmentField-based, often outdoors or on-site at various locationsRemote, from home or office, with digital tools
Industry UsageUsed in environmental surveys, infrastructure inspections, utility assessmentsUsed in market research, data aggregation, remote monitoring

The main difference is that Remote Field Data Scanners operate primarily in the field, collecting physical or visual data, while Remote Data Collectors work remotely, focusing on digital data entry and aggregation. Both roles require technical skills but differ in work environment and specific tasks.

What cities near Coram, NY are hiring for Remote Field Data Scanner jobs?

Cities near Coram, NY with the most Remote Field Data Scanner job openings:

Data Scientist - Clinical Analytics (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 18 days ago


Job description

Contact: Neisha Camacho/Terra Parsons –
No 3rd party candidates

This hands-on role sits at the intersection of Data Science, Biostatistics, Statistical Programming, and Clinical Data Management. The ideal candidate combines strong programming skills with clinical study experience and can build practical solutions that improve how teams access, analyze, visualize, and work with clinical data.

This individual will support ongoing studies while building technical infrastructure, automation, and reusable tools for a growing Biometrics organization. The successful candidate will be forward-thinking, collaborative, and comfortable introducing modern approaches in a cross-functional environment.

Primary Responsibilities

  • Develop data science solutions, analytical tools, dashboards, and visualizations to support clinical studies and data review.
  • Build reusable tools, workflows, and infrastructure for Statistical Programming, Biostatistics, Data Management, and other teams.
  • Build automated workflows using GitHub/GitHub Actions for quality checks, validation, code review, testing, and deployment.
  • Work with databases and data sources to support integration, analysis, and visualization.
  • Apply R and SAS to clinical data and analytical challenges and use Python when appropriate.
  • Develop and maintain interactive applications using R Shiny.
  • Partner across Biometrics and other clinical functions to understand study needs and develop effective technical solutions.
  • Identify opportunities to automate manual processes and improve efficiency.
  • Establish effective Git/GitHub, version control, and collaborative development practices.
  • Help team members adopt modern programming, automation, and application development practices.
  • Contribute technical expertise as Data Science and clinical analytics capabilities grow.

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field.
  • Significant Data Science, Statistical Programming, Clinical Analytics, or related experience within pharma, biotech, or clinical research.
  • Advanced programming experience in R and SAS.
  • Experience building and maintaining R packages.
  • Strong hands-on experience with Git/GitHub and GitHub Actions.
  • Experience developing analytical applications, dashboards, and visualizations, including R Shiny.
  • Experience with databases and integrating data into analytical workflows.
  • Strong understanding of version control, code review, testing, and automation.
  • Experience building reusable technical solutions and infrastructure.
  • Experience working with clinical study data and supporting study teams.
  • Strong cross-functional communication skills.
  • Ability to work independently in a small, growing organization while remaining highly collaborative.

Preferred Experience

  • Working knowledge of Python.
  • Experience building infrastructure, frameworks, or reusable tools for programmers, statisticians, or data scientists.
  • Experience automating development and quality-control processes.
  • Experience helping teams adopt Git/GitHub, R Shiny, automation, or other modern development practices.

Key Success Factors

  • Hands-on: Personally builds solutions rather than only directing others.
  • Forward-thinking: Brings ideas and seeks more efficient ways to solve problems.
  • Practical: Selects technology based on the problem.
  • Collaborative: Works effectively across clinical and technical functions.
  • Builder: Comfortable establishing tools, infrastructure, and new ways of working.
  • Self-directed: Identifies needs, proposes solutions, and drives work forward.