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Executive Remote Rn Data Abstractor Jobs in Cincinnati, OH

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... executive leadership It'sa bonus if you have * Experience in payments, fintech, or financial ...

Active, unencumbered registered nurse (RN) license in Ohio * Minimum of three years of clinical ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

Director of Individual Giving

Cincinnati, OH · On-site +1

$80K - $100K/yr

Director of Individual Giving Full-Time | Remote Reports To: Chief Executive Officer About ... Maintain accurate donor data and support prospect research and pipeline development. * Support for ...

Although the position will be remote, there might be some occasional travel to ERP Suites ... Daily Activities: • Collaborate with engineering, data science, and design teams to review ...

Although the position will be remote, there might be some occasional travel to ERP Suites ... Daily Activities: • Collaborate with engineering, data science, and design teams to review ...

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Executive Remote Rn Data Abstractor information

See Cincinnati, OH salary details

$7

$40

$69

How much do executive remote rn data abstractor jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for executive remote rn data abstractor in Cincinnati, OH is $40.53, according to ZipRecruiter salary data. Most workers in this role earn between $30.19 and $47.98 per hour, depending on experience, location, and employer.

What are some common challenges faced by Executive Remote RN Data Abstractors when working with multiple healthcare data systems?

Executive Remote RN Data Abstractors often encounter challenges when navigating and extracting data from various electronic health record (EHR) systems, as each may have different layouts, terminology, and workflows. Staying organized and detail-oriented is essential to ensure accuracy across datasets, especially when abstracting large volumes of patient information. Additionally, effective communication with clinical teams and IT support is important to resolve discrepancies or clarify documentation, which can sometimes be more complex in a remote setting. Adaptability and strong problem-solving skills help abstractors maintain data integrity and meet project deadlines.

What is the difference between Executive Remote Rn Data Abstractor vs Remote Rn Data Abstractor?

AspectExecutive Remote Rn Data AbstractorRemote Rn Data Abstractor
CertificationsRN license, possibly additional certificationsRN license, often similar certifications
Work EnvironmentHigher-level responsibilities, strategic tasksData abstraction, chart review, data entry
Employer UsageHealthcare organizations, data management firmsHospitals, clinics, health information companies
Search IntentComparison of roles, responsibilities, and qualificationsJob duties, requirements, and work setting

The Executive Remote Rn Data Abstractor typically handles more strategic and oversight tasks within data abstraction, often requiring additional experience or certifications. In contrast, the Remote Rn Data Abstractor focuses primarily on data collection and chart review. Both roles require RN licensure and work in healthcare settings, but the executive position involves higher-level responsibilities and decision-making.

What is an Executive Remote RN Data Abstractor?

An Executive Remote RN Data Abstractor is a registered nurse who works remotely to collect, review, and analyze medical records and healthcare data, often for quality improvement, compliance, or research purposes. Their role involves extracting key clinical information from patient charts and entering it into databases or registries, ensuring accuracy and adherence to specific guidelines. This position typically requires strong analytical skills, attention to detail, and a deep understanding of medical terminology and healthcare processes. Executive-level RN Data Abstractors may also oversee teams or manage complex data projects within healthcare organizations.

What are the key skills and qualifications needed to thrive as an Executive Remote RN Data Abstractor, and why are they important?

To thrive as an Executive Remote RN Data Abstractor, you need a current RN license, strong clinical knowledge, and experience in medical record review and data abstraction. Familiarity with healthcare data management systems, EHR platforms, and certifications like Certified Clinical Data Abstractor (CCDA) are commonly required. Attention to detail, analytical thinking, and excellent communication skills set top performers apart in this role. These competencies ensure accurate data collection, regulatory compliance, and reliable reporting for quality improvement initiatives.
What are the most commonly searched types of Remote Rn Data Abstractor jobs in Cincinnati, OH? The most popular types of Remote Rn Data Abstractor jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Executive Remote Rn Data Abstractor jobs? Cities near Cincinnati, OH with the most Executive Remote Rn Data Abstractor job openings:
Principal Data Scientist

Principal Data Scientist

Worldpay

Cincinnati, OH • On-site, Remote

$165K - $249K/yr

Full-time

Posted 4 days ago


Job description

Job Description

This position is not eligible for visa sponsorship, now or in the future.Candidates must be a US Citizen or Green Card Holder

This position is remote in the Greater Boston AreaonlyORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice.

Ready to take your careerglobal?

Make your mark at one of the biggest namesinpayments.We areseekingan experienced and visionaryPrincipal Data Scientisttohelp scaleour Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data-driven algorithms into robust, scalable, and production-ready products that optimize the end-to-end payment process. You will act as payment subject matter expert and applystrong systemand product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross functionalinitiativesand mentor senior DS/ML engineers.You will balance strategic leadership with hands-on technical contribution, dividing your time between setting technical direction and activelyparticipatingin architecture, design reviews, code reviews, and selected implementation efforts.

Whatyou'llown

Strategy and vision:

  • Define the technical vision and strategy fornew data driven productinitiativeswith a focus onend-to-endpayment optimization, aligning them with business goals.

  • Develop scalableand reusablecapabilities to power real-timemachine learningmodels(classification, ranking and optimization),enable rapid experimentationat scale, andsupportcontinuousmonitoringof MLproducts.

Technical contributionandleadership:

  • Overseeandparticipatehands-on intheconceptualization, development, production deployment, operation,validation,and maintenance of ML models andmodel updatesystems.

  • Establish and ensure adherence to best practicesforMLmodeling.Stay abreast of industry trends and emerging technologies in MLand payment optimization, drivingadoptionofmodern tools, frameworks, and infrastructure.

  • Foster a culture of innovation,experimentationandcollaboration.Mentoran elite team ofdata scientists

Cross-functional collaboration:

  • Partner with product, engineering, data, and compliance teams to integrate ML into products.Communicate complex technical concepts clearly to both technical and non-technical audiences.

  • Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D thatoptimizesend-to-end delivery of business value.

Whatyou'llbring

  • Bachelor's or master'sdegree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred)

  • 7+ years in ML research orengineering;5+ years building large-scale, real-time ML systems in production,includingsignificant experiencehands-on

  • Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ML lifecycle and experimentation processes

  • Proficiencyin Python (Pandas, NumPy, scikit-learn),strong SQL and database experience (NoSQLand/orgraph database experience isa plus)

  • Demonstrated ability to lead solution designand execution,translatingcomplex business requirements into actionable technology solutions

  • Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership

It'sa bonus if you have

  • Experience in payments, fintech, or financial services

  • Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)

  • Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI)

  • Agile development experience

  • Experience in large companies, mature ML teams, and/or highly regulated industries

About the team

Our inclusive and global teamswintogetherevery day.We'reproud to have the best minds in the industry, who you can learn from as you grow your career.The people, the energy, the connections -it'sunmatched.Come and be part of an ever-evolving companyand get dynamic opportunities that go beyond borders.

What makes aGlobalpayer?

Globalpayersthink like a client, act like anownerand win as one team.We'recurious andinnovative - always finding better ways to deliver impact.We empower each other to make decisions,andit'sour passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like aGlobalpayer. Apply now totake your careerglobal.

#LI-AD1


Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $165,300.00-$249,675.00. This range reflects what we reasonably expect to offer based on the role's responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate's experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.