To be eligible for this position, you must reside in the same country where the job is located. IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision. We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. Learn more at www.iqviadigital.com IQVIA Digital, an IQVIA business, is the leader in HCP (Healthcare Professional) data solutions fueling digital advertising campaigns across the wide array of platforms in the industry. We provide flexible and unique data solutions for programmatic display, paid social, email and Advanced TV campaigns. We deliver solutions to and partner with Advertising Agencies, Pharmaceutical, BioPharma and Medical Device manufacturers. IQVIA has the largest firstparty HCP database allowing for audience identification, delivery, and measurement of omnichannel digital campaigns that can leverage a database of over10 million Physicians, Nurse Practitioners, Allied Health, and Hospital Professionals. Position Overview The Data Quality & Analytics Manager ensures that all file deliveries meet order requirements, performs quality checks on file contents, and reports any delivery issues or data discrepancies. This role supports internal and external clients by upholding the highest standards of data quality and compliance throughout the delivery process. Essential Functions Review and verify that all delivered files meet specified order requirements and client expectations. Perform detailed quality control checks on file contents, ensuring accuracy, completeness, and compliance with data governance standards. Document and report any issues, discrepancies, or failures in file delivery to relevant stakeholders promptly. Collaborate with internal teams (Delivery, Data Management, Product, and Governance) and external vendors to resolve QC issues efficiently. Maintain accurate records of QC checks, issue logs, and resolutions for audit and continuous improvement purposes. Prepare and present QC reports and summaries for internal and client review. Identify recurring issues or process gaps and propose solutions to enhance data quality and delivery reliability. Support onboarding of new data sources by validating test/sample files and ensuring they meet QC standards before release. Meet service level agreements (SLAs) for QC response times and issue resolution. Technical QC Tools & Methods Data Validation Tools: SQL-based validation scripts for data integrity checks Python or R for automated QC workflows Excel with advanced formulas and macros for quick audits File Transfer & Monitoring: FTP/SFTP tools for secure file delivery verification Automated checksum/hash verification (MD5, SHA) Reporting & Issue Tracking: Power BI or Tableau for QC dashboards Adobe Workfront for issue logging and resolution tracking Compliance: Automated schema validation against predefined standards Required Skills Strong attention to detail and ability to systematically review large data files for errors or inconsistencies. Experience with data file formats (CSV, Excel, TXT) and data management tools; familiarity with FTPs preferred. Ability to communicate QC findings clearly in both written reports and verbal updates. Proactive problem-solving skills and willingness to escalate issues when necessary. Strong organizational and time management skills; able to manage multiple QC tasks simultaneously. Proficiency in Microsoft Office (especially Excel and Outlook), programming languages (like SQL, Python) and reporting tools (PowerBI). Previous experience in data quality control, data management, or a related field is preferred. Qualifications Bachelor’s Degree required; advanced degree in a relevant field is a plus. 3+ years of experience in data quality control, data delivery, or data management. Experience working with healthcare, life sciences, or HCP data is a plus. Demonstrated ability to work collaboratively across teams and with external partners. Knowledge of data privacy, governance, and compliance standards. #iqviadigital IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is proud to be 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, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $74,100.00 - $185,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Position Title: Oncology Registry Data Specialist - PRN WFH - Cancer Registry Department: Cancer Registry Job Description: Remote Eligibility: Candidates must reside and work full-time in AR, KS, MO, OK, or TX before their first day of employment. The Oncology Registry Data Specialist PRN identifies, abstracts, analyzes data from medical records pertaining to diagnosed cancer cases. Essential Responsibilities Responsibilities listed in this section are core to the position. Inability to perform these responsibilities with or without an accommodation may result in disqualification from the position. - Researches all appropriate sources to identify reportable cancer cases in compliance with OH Health, CoC, and OCCR. - Researches all appropriate sources to abstract demographic, diagnosis identification, stage at diagnosis, first course of treatment, and follow-up information in compliance with OU Health, CoC, and OCCR. - Maintains abstracting timeliness as determined by the cancer committee. - Maintains productivity requirements: at least one abstract completed per two hours (average). - Maintains 95% abstracting accuracy. - Works with oncology registry team to improve processes, work methods, and procedures. - Monitors daily workflow and assignments to ensure compliance with key performance indicators. - Maintains confidentiality requirements. - Maintains personal and professional growth through education, organization memberships, seminars, and other opportunities. General Responsibilities - Performs other duties as assigned. Minimum Qualifications Education Requirements - High School Diploma or GED required. Experience Requirements - 3 or more years of experience in healthcare or healthcare informatics required. Oncology data experience preferred. License/Certification/Registration Requirements - Oncology Data Specialist (ODS) issued by the National Cancer Registrars Association required. Knowledge/Skills/Abilities Requirements - Knowledge of current American College of Surgeons' standards and requirements (CoC, NAPBC, and NAPRC). - Computer competency including Microsoft Office, EPIC, and CRStar. - Advanced organization and time management skills. - Advanced written and verbal communication. - Advanced teamwork and collaboration abilities. Current OU Health Employees - Please click HERE to login. OU Health is an equal opportunity employer. We offer a comprehensive benefits package, including PTO, 401(k), medical and dental plans, and many more. We know that a total benefits and compensation package, designed to meet your specific needs both inside and outside of the work environment, create peace of mind for you and your family.

Role Description The Data / Solution Architect will be responsible for the following: - Minimum 8+ years of experience working as Data Architect for AWS Cloud Data Warehouse. - Data Architecture & Engineering Deliverables: - Understand Data Requirements & Authoritative Data Source Assessment: Engage early to capture business and technical data needs. - Create and Maintain Architecture Artifacts: - Data Flow Diagrams (DFD) and Logical/Physical Data Models for end-to-end lineage. - Data Dictionary: Define entities, attributes, naming conventions, encryption/tokenization requirements, and traceability for compliance. - Data Mapping Sheets: Document source-to-target mappings, lineage, and transformation logic for all critical flows. - Data Privacy Impact Assessment (DPIA) for sensitive data projects. - Update Architecture Vision and Security Components: Ensure alignment with AVD (Architecture Vision Delta) and security design decisions. - Cloud & Platform Responsibilities: - Design and Implement Data Solutions: - Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks). - Apply architectural patterns for data lakes, streaming, and batch processing. - Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka. - Technical POCs: - Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirements. - Design, execute and lead POCs involving Cloud technologies to validate/support the assessment. - Ensure Compliance with Data Standards: - Apply Barclays Data Architecture Capability Directives and DACM patterns for governance and quality. - Integrate Security and Privacy Controls: - Tokenization, masking, and encryption for PII/PCI data across ingestion and storage layers. - Governance & Approvals: - Liaise with Lead Architects Guild and Control Tribes: - Present artifacts for review and sign-off in forums like TAC, EDP ARB, and Fraud Design Authority. - Secure Mandatory Approvals: - CAF1 (Non-Prod) and CAF2 (Prod) for environment readiness. - CARA, DPIA and DARB for architecture compliance. - Collaboration & Lifecycle Support: - Work with Solution Architects and Engineering Teams: - Assist in solution design, low-level design, and component build. - Support SIT, OAT, and E2E testing phases for data integrity and performance. - Service Transition & RTB Handover: - Ensure smooth deployment and operational readiness for production environments. - Continuous Improvement & Standards: - Define and Enhance Standards: Contribute to Data Dictionary and Data Mapping standards and aide-memoires for consistency. - Participate in Architecture Working Groups: Drive adoption of reusable patterns, accelerators, and compliance frameworks. - Work closely with CTO, CDO and other Solution Architects to deliver Fraud solutions at the highest standards. - Responsible for designing, sustaining & enhancing Fraud data architecture. - Responsible for hands-on design and implementation of integrated Fraud based data solutions that are scalable, built for rapid change and meets functional and non-functional requirements. - Assist in planning, architecture, analysis, and design of applications and integrate with legacy systems. Qualifications - 8+ years of experience as a Data Architect. - Experience with AWS Cloud Data Warehouse. - Proficiency in data architecture and engineering. - Familiarity with cloud-native tools and frameworks. - Understanding of data privacy and compliance standards. Requirements - Strong analytical and problem-solving skills. - Ability to work collaboratively with cross-functional teams. - Excellent communication and presentation skills. - Experience in designing scalable data solutions. Benefits - Competitive salary. - Flexible working hours. - Opportunities for professional development. - Health and wellness programs.

Job Description The Virginia Tech Academy of Data Science seeks a Data Science Instructional Specialist to support the development, modernization, and delivery of high-quality hybrid and online learning experiences for working professionals in data science as we expand our offerings of the MS in Data Science Degree. This position plays a critical role in converting existing and new graduate-level course content into engaging, accessible, and professionally produced online materials aligned with best practices in adult education. The Data Science Instructional Specialist collaborates closely with faculty, instructional designers, and program leadership to produce concept videos, code demonstration videos, learning assets, and assessments that support flexible, high-impact learning for students balancing professional and academic responsibilities. Fully remote work may be considered. Required Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a closely related quantitative field. Demonstrated experience developing or supporting online or hybrid higher-education courses, particularly in technical or quantitative domains related to data science. Proficiency with Canvas or a comparable learning management system. Hands-on experience using Camtasia or similar software for video recording, editing, and instructional content production. Strong technical communication skills, with the ability to explain complex data science concepts clearly and effectively. Experience working collaboratively with faculty, instructional designers, or academic program teams. Proficiency with Microsoft Office 365 and Microsoft Teams. Preferred Qualifications Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a closely related quantitative field. Experience supporting graduate-level or professional education programs. Familiarity with adult learning theory and instructional best practices for working professionals. Experience producing code-focused instructional content (e.g., Python, R, SQL, data visualization). Knowledge of accessibility standards for online learning (e.g., captions, transcripts, universal design). Prior experience in data science, analytics, or computational research consulting organizations that solve applied problems. Comfort working in fast-paced production cycles with defined timelines and deliverables. Coursework in machine learning, statistical/data science computing, and communication. Developing and teaching data science-related short courses to applied problem solvers outside traditional data science fields. Experience creating course content using large language models such as ChatGPT, Claude, Google LLM and Natural Reader (or similar text to speech software). Experience using a markdown languages (R-markdown, Quarto, etc.) to create slides, reports, and/or graphics. Experience as a teaching assistant, instructor, or professor in an academic setting. Overtime Status Exempt: Not eligible for overtime Appointment Type Regular Salary Information Starting at $70,000 - commensurate with experience Hours per week 40 hours - exempt position Review Date 03/13/2026 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Holly Caldwell at holly22@vt.edu during regular business hours at least 10 business days prior to the event.