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Senior Remote Clinical Data Abstractor Jobs in Tulsa, OK

micro1 AI

Cheminformatics Specialist - Remote

Tulsa, OK · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... Strong self-management skills with the ability to work independently in a fully remote environment.

Danaher

Principal Clinical Scientist

Tulsa, OK · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

micro1 AI

Bioinformatics Software Engineer

Tulsa, OK · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Addison Group

Senior Microsoft 365 Analyst

Tulsa, OK · Remote

$45 - $50/hr

Hybrid schedule (Monday-Thursday onsite, Friday remote) Travel: None required Benefits: This ... Support security and compliance initiatives involving Microsoft Purview, data retention, ...

Addison Group

Senior Microsoft 365 Analyst

Tulsa, OK · Remote

$45 - $50/hr

Hybrid schedule (Monday-Thursday onsite, Friday remote) Travel: None required Benefits: This ... Support security and compliance initiatives involving Microsoft Purview, data retention, ...

System One

Senior System Analyst

Tulsa, OK · Remote

$26 - $29/hr

Remote - offsite Hours: 40.0 Security Clearance: Not specified Work Schedule: Thu, Fri, Sat, every ... Demonstrated ability to understand or support event monitoring, logging and data collection ...

System One

Senior System Analyst

Tulsa, OK · Remote

$26 - $29/hr

Remote - offsite Hours: 40.0 Security Clearance: Not specified Work Schedule: Thu, Fri, Sat, every ... Demonstrated ability to understand or support event monitoring, logging and data collection ...

System One

Senior System Analyst

Tulsa, OK · Remote

$26 - $29/hr

Remote - offsite Hours: 40.0 Security Clearance: Not specified Work Schedule: Thu, Fri, Sat, every ... Demonstrated ability to understand or support event monitoring, logging and data collection ...

System One

Senior System Analyst

Tulsa, OK · Remote

$26 - $29/hr

Remote - offsite Hours: 40.0 Security Clearance: Not specified Work Schedule: Thu, Fri, Sat, every ... Demonstrated ability to understand or support event monitoring, logging and data collection ...

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Senior Remote Clinical Data Abstractor information

See Tulsa, OK salary details

$72.2K

$112.4K

$168.5K

How much do senior remote clinical data abstractor jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior remote clinical data abstractor in Tulsa, OK is $112,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $125,600.00 per year, depending on experience, location, and employer.

What is a senior remote clinical data abstractor?

A Senior Remote Clinical Data Abstractor is a healthcare professional responsible for reviewing medical records and extracting important clinical data for research, quality improvement, or regulatory compliance purposes. They work remotely, using secure digital platforms to access and abstract patient information according to specific guidelines and protocols. This role often requires advanced knowledge of medical terminology, coding systems, and healthcare data standards, as well as experience in clinical data abstraction. Senior positions also involve mentoring junior abstractors, ensuring data accuracy, and collaborating with clinical teams to support organizational goals.

What are the key skills and qualifications needed to thrive as a senior remote clinical data abstractor?

To thrive as a Senior Remote Clinical Data Abstractor, you need extensive clinical knowledge, strong analytical skills, and experience with medical terminology and healthcare documentation, often supported by a degree in nursing, HIM, or a related field. Proficiency with EHR systems, data abstraction software, and relevant certifications such as Certified Clinical Data Specialist (CCDS) are typically required. Attention to detail, self-motivation, and effective communication are soft skills that help you excel in a remote and highly regulated environment. These skills ensure accurate data collection and reporting, directly impacting patient outcomes and compliance with quality standards.

What are some common challenges faced by senior remote clinical data abstractors and how can they be addressed?

Senior Remote Clinical Data Abstractors often encounter challenges such as maintaining data accuracy when working with diverse electronic health records (EHR) systems and ensuring consistent communication with clinical teams. Addressing these challenges typically involves developing strong attention to detail, staying updated on the latest abstraction guidelines, and utilizing secure collaboration tools for effective remote teamwork. Regular training and participation in team meetings can also help abstractors stay aligned with evolving protocols and foster a supportive, solution-oriented environment.

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Senior Remote Clinical Data Abstractor jobs near you

Cheminformatics Specialist - Remote

Tulsa, OK • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Re-posted 8 hours 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.

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