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Senior Remote Clinical Data Abstractor Jobs in Tulsa, OK

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.

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, ...

micro1 AI

Clinical Pharmacy Technicians

Broken Arrow, OK · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

micro1 AI

Clinical Pharmacy Technicians

Tulsa, OK · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

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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 9, 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 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.

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 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 popular job titles related to Senior Remote Clinical Data Abstractor jobs in Tulsa, OK? For Senior Remote Clinical Data Abstractor jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Senior Remote Clinical Data Abstractor jobs in Tulsa, OK look for? The top searched job categories for Senior Remote Clinical Data Abstractor jobs in Tulsa, OK are:
Senior Remote Clinical Data Abstractor jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Tulsa, OK • Remote

$90 - $120/hr

Part-time

Posted 13 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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