Role Description Texas Oncology is looking for a Data Coordinator to join our team! This position will support the Tyler location and is a Remote position. Typical hours are Mon-Fri from 8am-5pm. This position can be either a level 1, 2 or Sr based on experience. Under general supervision is responsible for the collection, coordination, processing and quality control of clinical trial data, maintaining research protocol and other research files as applicable. Works with clinical staff to meet data entry timelines and communicate any concerns about the data. Works in compliance with US Oncology Research (USOR) Standard Operating Procedure (SOP), principles of Good Clinical Practice (GCP) and all applicable federal state and local regulations. Supports and adheres to the US Oncology Compliance Program to include the Code of Ethics and Business Standards. Responsibilities - Extrapolate data from source records into case report forms for all patient visits and ensure timely data submission in accordance with USOR SOPs. - Responsible for resolving queries, communicating concerns or questions about data to clinical staff and or research management. - Utilizes USOR clinical trial management system to access research forms and keep current all applicable patient reporting and tracking functions including but not limited to subject CRF Binders/Folders. - Maintains research records in a confidential manner according to practice policies, sponsor confidentiality agreements, HIPAA guidelines and any other applicable regulations. - Actively participates in sponsor monitoring and auditing visits, ensuring that all data and queries are entered and resolved in accordance with USOR and sponsor requirements. - Assist with ordering and maintaining research supplies. - Assist with scheduling patient follow up appointments and/or procedures required to maintain protocol compliance. - Assist with collecting and processing of specimens, imaging documents, and other items required for research purposes. Qualifications - Level 1: High School Diploma required; Associates Degree strongly desired; Bachelor's Degree preferred; 0-3 Years work experience; Some medical office experience required; preferably oncology. - Level 2 (in addition to level 1 requirements): Minimum 3 years medical office experience (preferably oncology); Minimum 3 years as Data Coordinator required; SoCRA or ACRP cert. preferred. - Level Sr (in addition to level 1 and 2 requirements): Medical terminology required; Minimum 7 years as a Data Coordinator required. Requirements - Experience in Microsoft Office. - Experience with computer data entry and database management. - Experience in clinical research desired. - High computer literacy required. Specialized Knowledge/Skills - Excellent written and oral communication skills. - Excellent multi-tasking skills. - High attention to detail and accuracy. - Ability to independently organize, prioritize, and make decisions. - Knowledgeable of medical terminology. Working Conditions - Traditional office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Exposure to communicable diseases, toxic substances, ionizing radiation, medical preparations and other conditions common to an oncology/hematology clinic environment. Physical Requirements - Large percent of time performing computer based work is required. - Requires full range of body motion including handling and lifting patients, manual and finger dexterity, and eye-hand coordination. - Requires standing and walking for extensive periods of time. - Occasionally lifts and carries items weighing up to 40 lbs. - Requires corrected vision and hearing to normal range.

Role Description Work on a team that is on a mission to transform how data and AI empower decision-making across the enterprise. Our Data Platforms team is building scalable, secure, and intelligent infrastructure to support advanced analytics, real-time insights, and seamless data integration. We are creating a unified data foundation that accelerates innovation and drives measurable business impact. As a visionary Lead Data Platform Engineer to architect, you will evolve, and lead our next-generation AI and data ecosystem. This is a hands-on leadership role that blends technical depth, strategic thinking, and shaping the technical vision of a modern data, data analytics, AI, and ML platforms. You’ll drive the design, development, and optimization of our enterprise data platform, integrating Power Platforms, Microsoft Fabric components with modern cloud-native and AI-driven technologies. Day to day, you'll: - Architect & Build: Design and deliver scalable data AI platform solutions using Microsoft Fabric, Data Lake, SHIR, Power BI, Fabric-native services, and Power Platforms. - Lead Initiatives: Drive end-to-end implementation of data projects, from ingestion and transformation to governance, observability, and consumption. Ensure high standards of data reliability, security, and performance. - Modernize Infrastructure: Migrate legacy systems to cloud-native and AI-enabled architectures, ensuring performance, reliability, and cost-efficiency. - Enable Data & AI Products: Collaborate with analytics, visualization, engineering, and business teams to deliver reusable data assets, semantic models, and self-service capabilities. - Promote Data Mesh Principles: Work with domain teams to decentralize data ownership and promote self-service capabilities that include data and AI services. - Champion Best Practices: Establish and enforce standards for data quality, lineage, security, and monitoring. - Mentor & Guide: Provide technical leadership, coaching, and career development for data engineers and platform developers. - Cross-Functional Partnership: Work closely with product managers, business leaders, and vendors to prioritize and deliver high-value outcomes. Qualifications - 7+ years of proven experience designing, implementing, and leading enterprise-scale data platforms. - Deep expertise in Microsoft Fabric, Azure Data Services and modern data and AI architecture patterns. - Strong proficiency in SQL, Python and data modeling techniques. - Familiarity with CI/CD pipelines, DevOps for data, ML Ops practices, and infrastructure-as-code. - Excellent communication and stakeholder management skills. - Demonstrated ability to lead small teams while remaining hands-on with complex technical challenges. - Bachelors degree in a related field or the equivalent through a combination of education and related work experience. Requirements - Masters degree in a related field or the equivalent through a combination of education and related work experience. - Certifications in Azure Data Engineering, Azure ML and Microsoft Fabric. - Exposure to machine learning pipelines or advanced analytics. - Advanced (applied theory) Develop and deploy new tools to help protect, govern, validate and maintain the data sources used by the data science and analytics team. - Advanced (applied theory) Experience Applying ML to data engineering problems. - Experience with OneLake, Lakehouse architecture, and Fabric-native governance tools. - Knowledge of data mesh principles and domain-oriented data ownership. - Certifications in Azure Data Engineering, Azure ML and Microsoft Fabric. Benefits - Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage. - Can participate in the H&R Block Retirement Savings Plan (401(k) Plan). - Employee Assistance Program, (virtual) fitness center programs, and the associate discount program. - Automatically enrolled in Business Travel Accident Insurance. - Receive Associate Tax Prep benefit.

Role Description The Data Engineer supports short-term, high-impact initiatives within the People Analytics and HR data domain. This role focuses on hands-on data integration, modeling, and migration efforts, primarily using Databricks. The position contributes to multiple concurrent data projects, including: - Legacy system migration - HR analytics enablement - Healthcare data processing This requires strong technical depth and the ability to quickly address skills gaps. Qualifications - Strong hands-on experience working as a Data Engineer in enterprise environments - Recent, hands-on experience with Databricks for data processing and analytics - Experience designing and supporting ETL and ELT pipelines - Experience working with healthcare data or regulated data environments - Strong SQL skills and experience with data modeling concepts - Ability to work independently and quickly contribute in short-term engagements - Strong analytical, problem-solving, and documentation skills Requirements - Design and build scalable data pipelines to ingest, process, and transform healthcare and HR data - Ingest data from electronic health record systems and external data feeds - Support data ingestion across raw, prepared, and curated layers for analytics use cases - Develop and optimize ETL and ELT workflows using Databricks - Work within cloud-based environments to ensure efficient, reliable data movement - Translate stakeholder data requirements into effective processing solutions - Maintain data quality, consistency, and integrity across pipelines - Support data model and dashboard migration from SQL Server environments to Databricks - Archive legacy data into Databricks for long-term access and analytics - Build and maintain analytical data models to enable HR and People Analytics reporting - Perform data cleansing, validation, and reconciliation - Investigate and resolve data-related issues and pipeline failures - Ensure accuracy and reliability of analytical datasets - Develop and maintain documentation for data pipelines, workflows, and transformations - Collaborate with business, analytics, and technical stakeholders - Share knowledge to support maintainability and reproducibility of solutions Benefits - Competitive salary - Remote location - Mid–Senior Level experience Core Skills & Attributes - Strong hands-on technical execution mindset - Ability to quickly adapt and address skills gaps - Detail-oriented with a focus on data quality and reliability - Strong collaboration and communication skills - Comfortable working in fast-paced, short-duration project environments This is a remote position.

• Design, develop and maintain a cloud-based data platform in Azure • Build and optimise data pipelines for ingestion, transformation, and delivery • Deliver end-to-end Microsoft BI solutions, supporting a range of analytical use cases • Work collaboratively with analysts and stakeholders to understand and meet data needs • Implement data quality, validation, and governance processes • Monitor pipelines, troubleshoot issues, and maintain platform performance • Ensure solutions are secure, scalable, and cost-efficient • Present technical concepts clearly to non-technical stakeholders