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Weekend Rn Data Abstractor Jobs in Philadelphia, PA

Excel Care Newark

RN Supervisor

Wilmington, DE · On-site

Located at 4949 Ogletown Stanton Rd, Newark, DE 19713 | 3p-11p every other weekend | Registered Nurse (RN) Supervisor Benefits * 401k with up to 5% matching * Tapcheck, unlock earnings early * Paid ...

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$7

$42

$72

How much do weekend rn data abstractor jobs pay per hour?

As of May 28, 2026, the average hourly pay for weekend rn data abstractor in Philadelphia, PA is $42.63, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $50.43 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend RN Data Abstractor, and why are they important?

To excel as a Weekend RN Data Abstractor, you need a registered nursing license, strong clinical knowledge, and experience in medical record review or data abstraction. Familiarity with electronic health record (EHR) systems, medical coding, and data abstraction software is typically required, along with certifications such as CCDS or CPC being advantageous. Attention to detail, analytical thinking, and strong written communication are vital soft skills in this role. These competencies ensure accurate data extraction, compliance with regulatory standards, and effective support for clinical quality initiatives.

What are the main challenges faced by Weekend RN Data Abstractors, and how can they be managed effectively?

Weekend RN Data Abstractors often encounter challenges such as working independently with limited on-site support and managing time-sensitive data collection tasks. Since weekends can have fewer staff available, strong organizational skills and self-motivation are crucial. Effective communication with remote team members and meticulous attention to detail help ensure accurate and timely data abstraction. Many find that proactively reaching out for clarification and participating in regular team check-ins greatly supports their success in this role.

What are Weekend RN Data Abstractors?

Weekend RN Data Abstractors are registered nurses who work primarily on weekends to collect, review, and enter patient data from medical records into databases or registries. Their main responsibility is to ensure that clinical data is accurately abstracted for purposes such as quality improvement, research, or compliance reporting. They utilize their nursing knowledge to interpret medical documentation and adhere to confidentiality standards. This role often requires strong attention to detail, proficiency with electronic health records, and the ability to work independently during weekend shifts.

What is the difference between Weekend Rn Data Abstractor vs Weekend Lpn Data Abstractor?

AspectWeekend Rn Data AbstractorWeekend Lpn Data Abstractor
CredentialsRegistered Nurse (RN) licenseLicensed Practical Nurse (LPN) license
Work EnvironmentHospitals, clinics, healthcare facilitiesLong-term care, outpatient clinics
Industry UsageCommonly used in medical record abstraction and data collectionUsed in similar settings but with LPN scope
Job FocusAbstracting detailed patient data, clinical documentationAbstracting basic patient information, documentation

The main difference between Weekend Rn Data Abstractor and Weekend Lpn Data Abstractor lies in the required credentials and scope of practice. RNs have a broader clinical background, allowing them to handle more complex data abstraction tasks, while LPNs focus on more basic patient information. Both roles are essential in healthcare data management, often working in similar environments but with different levels of responsibility.

What are the most commonly searched types of Rn Data Abstractor jobs in Philadelphia, PA? The most popular types of Rn Data Abstractor jobs in Philadelphia, PA are:
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What job categories do people searching Weekend Rn Data Abstractor jobs in Philadelphia, PA look for? The top searched job categories for Weekend Rn Data Abstractor jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Weekend Rn Data Abstractor jobs? Cities near Philadelphia, PA with the most Weekend Rn Data Abstractor job openings:
Weekend Rn Data Abstractor jobs near you

RN Supervisor

Excel Care Newark

Wilmington, DE • On-site

Part-time

Posted 12 days ago

Job description

Excelcare at Newark is seeking a RN Supervisor who provides leadership and clinical oversight for nursing operations in our skilled nursing facility. This role ensures high-quality resident care, supports nursing staff, maintains regulatory compliance, and promotes a safe, efficient, and compassionate care environment. The ideal candidate is a strong clinical leader with excellent communication skills and a passion for resident-centered care.

Located at 4949 Ogletown Stanton Rd, Newark, DE 19713

| 3p-11p every other weekend |

Registered Nurse (RN) Supervisor Benefits

  • 401k with up to 5% matching

  • Tapcheck, unlock earnings early

  • Paid sick time and paid holidays

  • Employee-only discounts, perks and rewards program

RN Supervisor Responsibilities

  • Supervise nursing staff and coordinate clinical care during assigned shifts

  • Ensure proper documentation and adherence to facility policies

  • Provide direct patient care when necessary

  • Manage admissions, discharges, and transfers

  • Communicate with families, physicians, and interdisciplinary teams

  • Respond to emergencies and resolve issues promptly

RN Supervisor Qualifications

  • Current RN license in the State of New Jersey

  • Minimum of two years of nursing experience, preferably in long-term care or skilled nursing

  • Prior supervisory experience preferred

  • Strong communication, organizational, and leadership skills

  • Ability to work independently and make sound clinical decisions

If you are a motivated and compassionate professional looking to make a meaningful impact, we encourage you to apply for this rewarding opportunity.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


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