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.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Join Us as a Lab Database Admin – Make an Impact at the Forefront of Innovation At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on – now and in the future. We have successfully supported the top 50 pharmaceutical companies and more than 750 biotechs, spanning 2,700 clinical trials across 100+ countries in the last 5 years. As a Lab Database Admin, you will under close supervision, lead delivery of electronic information to the laboratory database. You will also provide technical advice for the use and operation of the laboratory database system including data quality control and content verification procedures according to SOP's. What You'll Do: • Review requests for database modification for accuracy and consistency. Generate and track the worklist of database update requests. Provide accurate status information of all pending and completed database update requests on a regular basis. • Implement quality control review procedures to address data clarification or discrepancy queries. Identifies, resolves and updates data discrepancies and makes necessary changes to the database. • Track, maintain and generate reports for billable services on a regular basis. Generate metrics reports for management review on a regular basis. • Generate internal communication memo's/reports detailing a list of database updates on a regular basis. • Participate in internal/self-audit program of database content, supporting ongoing quality assurance and quality control procedures. • Perform corrective and preventative action activities and special project activities, as required, to support ongoing quality assurance and quality event outcomes. • Perform database modifications, existing content review for accuracy, and ongoing status updates of third-party and non-company contracted lab data. Education and Experience Requirements: • High / Secondary school diploma or equivalent and relevant formal academic / vocational qualification • Technical positions may require a certificate • Previous experience that provides the knowledge, skills, and abilities to perform the job (comparable to at least 4 years). In some cases an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role. Knowledge, Skills, Abilities: • Experience with Microsoft Excel and web-based applications is preferred • Attention to detail • Knowledge of regulated industry/ environment is preferred • Evidenced administrative competence and relevant data services skills Working Environment: Thermo Fisher Scientific values the health and wellbeing of our employees. We support and encourage individuals to create a healthy and balanced environment where they can thrive. Below is listed the working environment/requirements for this role: • Work is performed in a clinical environment. • Exposure to biological fluids with potential exposure to infectious organisms. Why join us? When you join Thermo Fisher Scientific, you become part of a global team that values passion, innovation, and a commitment to scientific excellence. You’ll work in an environment where collaboration and development are part of the everyday experience—and where your contributions truly make a difference. Apply today to help us deliver tomorrow’s breakthroughs.