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

Transactional Lawyer

Bridgeport, CT · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Transaction Attorney

Bridgeport, CT · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

In-house Counsel

Bridgeport, CT · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Showing results 21-40

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 Aug 30, 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 job categories do people searching Remote Field Data Scanner jobs in Coram, NY look for?

The top searched job categories for Remote Field Data Scanner jobs in Coram, NY are:

Bioinformatics Software Engineer

micro1 AI

Bridgeport, CT • Remote

$80 - $110/hr

Part-time

Posted 27 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.