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HomeCompaniesAmericandatanetworkCertified Oncology Data Specialist (Remote)

Certified Oncology Data Specialist (Remote)

Americandatanetwork · Remote · Active · BambooHR

Job facts

FieldValue
CompanyAmericandatanetwork
TitleCertified Oncology Data Specialist (Remote)
Normalized title-
Department / teamData Abstraction Services
LocationLittle Rock, AR, United States
Work modelRemote / Remote
Employment typeContract
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-06-02 / 2026-06-19
Changed / last seen2026-06-19 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from Americandatanetwork.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Little Rock.Open
Department jobsActive postings in Data Abstraction Services.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAmericandatanetwork
Sourcec4e13d1f-dada-47d9-ad69-15ac4a7c250f
ATS providerBambooHR

Description

Why ADN? Join the American Data Network family and become part of an established, purpose-driven healthcare quality organization with more than 30 years of experience. At ADN, our work supports hospitals and healthcare clients in improving quality, patient safety, and clinical outcomes. We value integrity, accuracy, collaboration, and professionalism, and we are looking for experienced abstractors who take pride in producing high-quality work. Position Summary: American Data Network is seeking experienced certified Oncology Data Specialists (ODS) to support accurate and timely oncology data abstraction for assigned healthcare clients. This role is ideal for candidates with recent, hands-on oncology data abstraction experience who can independently review clinical documentation, apply registry specifications, and meet assigned deadlines with a high level of accuracy. This is not a general data entry position. Candidates must have direct healthcare quality reporting, clinical chart review, or data abstraction experience specific to Oncology. Position Details: ADN hires both contractors and full-time employees for Data Abstraction roles. Contractors must be available for a minimum of 15 hours per week. Key Responsibilities: Reviews patient medical records and abstracts data for oncology registries. Applies registry specifications, definitions, inclusion and exclusion criteria, and abstraction guidelines accurately and consistently. Maintains compliance with NCRA and other applicable guidelines to ensure the integrity and quality of the registry data. Collaborates with oncology program leadership, performance improvement teams, and clinical staff to clarify documentation and support oncology program goals. Enters accurate and complete data into assigned registry platforms, EHRs, vendor tools, or other data collection systems. Maintains a high level of abstraction accuracy, completeness, and attention to detail. Meets assigned productivity expectations, weekly progress goals, and internal and client deadlines. Participates in quality assurance activities, including feedback, correction, validation, and IRR reviews. Communicates professionally with account leads, team members, and client contacts when clarification is needed. Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements. Qualifications: Required: Current Oncology Data Specialist (ODS) certification by the National Cancer Registrars Association (NCRA) required. Minimum 1 year of oncology registry experience required, with 2 or more years preferred. Advanced understanding of oncology registry processes, coding, registry rules, and manuals, including SEER, AJCC, and other applicable standards. Ability to work independently with minimal supervision while maintaining accuracy and meeting deadlines. Strong attention to detail, organization, documentation, and follow-through. Comfort working in multiple EHRs, registry platforms, vendor tools, and data collection systems as assigned. Excellent interpersonal and written communication skills. Contractors must have high-speed secure internet, a PC or laptop, and at least two monitors. Preferred: Experience using oncology registry applications, reports, and other related data collection resources. Experience with IRR, QA review, audit validation, and/or abstraction accuracy review. Screening & Onboarding: Qualified candidates will complete an initial phone screen to evaluate qualifications and proof of certification. ADN does not provide basic Oncology abstraction training, so candidates should already have the experience needed for the role. After hire, ADN provides onboarding to ADN processes, client systems, EHR access, documentation tendencies, and other client-specific workflows. Why This Role May Be a Good Fit: This position may be a strong fit for experienced and certified Oncology Data Specialists (ODS) who enjoy independent work, flexible scheduling, chart reviews, healthcare quality reporting, and contributing to meaningful work that supports hospitals and patient care. ADN offers a knowledgeable and supportive team environment, multiple abstraction opportunities, and potential growth into lead or expanded quality roles for strong performers.

Full job record

Job ID8ff48c5b2f921ec6125f1e855799638c75d5db4b
Org ID7f01963f-52ef-4d81-8c3c-0d9a06d84e34
Source IDc4e13d1f-dada-47d9-ad69-15ac4a7c250f
Board IDc4e13d1f-dada-47d9-ad69-15ac4a7c250f
Providerbamboohr
Provider Job Key64
TitleCertified Oncology Data Specialist (Remote)
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentData Abstraction Services
Team
Employment Typecontract
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionAR
CityLittle Rock
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://americandatanetwork.bamboohr.com/careers/64
Apply URLhttps://americandatanetwork.bamboohr.com/careers/64
First Seen At2026-06-19 10:27:05Z
Last Seen At2026-06-22 11:13:25Z
Last Checked At2026-06-22 11:13:25Z
Last Changed At2026-06-19 10:27:05Z
Inactive At
Source Posted At2026-06-02 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=americandatanetwork/date=2026-06-22/2026-06-22T11-13-24-160Z-93dacd673522b031930e45b23638bd3568db9b5ef8ba285e4a08414f08692008.json
Event Fields
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Extensions
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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Why ADN? </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Join the American Data Network family and become part of an established, purpose-driven healthcare quality organization with more than 30 years of experience. At ADN, our work supports hospitals and healthcare clients in improving quality, patient safety, and clinical outcomes. We value integrity, accuracy, collaboration, and professionalism, and we are looking for experienced abstractors who take pride in producing high-quality work.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Position Summary: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">American Data Network is seeking experienced certified Oncology Data Specialists (ODS) to support accurate and timely oncology data abstraction for assigned healthcare clients. This role is ideal for candidates with recent, hands-on oncology data abstraction experience who can independently review clinical documentation, apply registry specifications, and meet assigned deadlines with a high level of accuracy.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">This is not a general data entry position. Candidates must have direct healthcare quality reporting, clinical chart review, or data abstraction experience specific to Oncology.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Position Details: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">ADN hires both contractors and full-time employees for Data Abstraction roles. Contractors must be available for a minimum of 15 hours per week.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Key Responsibilities:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Reviews patient medical records and abstracts data for oncology registries.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Applies registry specifications, definitions, inclusion and exclusion criteria, and abstraction guidelines accurately and consistently.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Maintains compliance with NCRA and other applicable guidelines to ensure the integrity and quality of the registry data.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborates with oncology program leadership, performance improvement teams, and clinical staff to clarify documentation and support oncology program goals.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Enters accurate and complete data into assigned registry platforms, EHRs, vendor tools, or other data collection systems.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Maintains a high level of abstraction accuracy, completeness, and attention to detail.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Meets assigned productivity expectations, weekly progress goals, and internal and client deadlines.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Participates in quality assurance activities, including feedback, correction, validation, and IRR reviews.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Communicates professionally with account leads, team members, and client contacts when clarification is needed.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Qualifications:</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Required:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Current Oncology Data Specialist (ODS) certification by the National Cancer Registrars Association (NCRA) required.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Minimum 1 year of oncology registry experience required, with 2 or more years preferred.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Advanced understanding of oncology registry processes, coding, registry rules, and manuals, including SEER, AJCC, and other applicable standards.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ability to work independently with minimal supervision while maintaining accuracy and meeting deadlines.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong attention to detail, organization, documentation, and follow-through.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Comfort working in multiple EHRs, registry platforms, vendor tools, and data collection systems as assigned.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Excellent interpersonal and written communication skills.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Contractors must have high-speed secure internet, a PC or laptop, and at least two monitors.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Preferred:</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience using oncology registry applications, reports, and other related data collection resources.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with IRR, QA review, audit validation, and/or abstraction accuracy review.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Screening &amp; Onboarding: </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\"><br></span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Qualified candidates will complete an initial phone screen to evaluate qualifications and proof of certification.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">ADN does not provide basic Oncology abstraction training, so candidates should already have the experience needed for the role. 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