Clinical Data Associate

Clinical Data AssociateAt Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
The Clinical Data Associate is accountable for the end-to-end clinical data sciences delivery for a clinical study, including clinical database build, data acquisition, storage, retrieval, and exchange. This role requires in-depth understanding of the clinical study design, data standards, study protocol, data flow, systems, and processes for collecting and managing clinical study data. The Clinical Data Associate is required to represent the clinical data sciences function and collaborate with and manage key study collaborators in achieving study milestones. The role is responsible for providing clinical data science leadership and ownership for a particular clinical study, set of studies, or programs.
Primary ResponsibilitiesImplement project monitoring and quality oversight of sourcing providers for end-to-end data management activities from study set-up to trial execution through database lock delivery.
Ensure vendor performance for the program-level flow of data, including across niche vendors and niche data sources (pharmacokinetics, immunogenicity, biomarkers).
Partner with the Clinical Data Strategist in ensuring data flow design and data collection meet the requirements of the study protocol.
Develop the Data Management Plan (DMP) and maintain the DMP throughout the lifecycle of the clinical study while ensuring that the DMP is followed in accordance with the study design and study protocol requirements.
Drive data cleaning activities throughout study execution. Use therapeutic knowledge and possess a deep understanding of the technologies used to review data to ensure database deliverables are consistent and accurate.
Help identify and drive implementation of post-production changes to the Clinical Database.
Develop and maintain plans for key study deliverables (i.e., Data Quality Delivery Plan, Datalock Plan, Project Plan).
Provide consultation and a high level of expertise in data management processes, principles, and deliverables to support clinical studies.
Represent clinical data sciences in inspections and support inspection readiness efforts within the clinical data sciences function and multi-functionally.
Effectively apply knowledge of applicable internal, external, and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to data deliverables.
Manage and drive requests for copyrights and translations for study-related documents.
Drive build implementation for eCOA, ensure execution of eCOA deliverables (on time with high quality), and serve as eCOA point of contact (POC).
Project ManagementEnsure that the clinical data science deliverables meet scope, cost, and time objectives.
Manage study timelines for clinical data deliverables (FPV to database lock)Drive the planning, readiness, coordination and communication of activities leading to database lockCoordinate/lead data management milestones for data transfers and database locks.
Manage scope of the deliverables through scenario planning and negotiating desired outcomes with study teams while taking into account the cost and value of scenarios.
Practice effective risk management to mitigate or manage risks to study deliverables.
CommunicationAct as primary communication point for all data management activities related to a clinical study.
Report out status of data management milestones and data quality.
Partner with external data vendors: understand specifications to import multiple types of data, work with technical groups to ensure timely loads of external data sets into the sponsor's database.
Demonstrate excellent written and verbal communication skills, including the ability to represent the Data and Analytics organization and influence team members to drive data-driven decisions.
Partner with across functional team members to ensure trial success through robust oversight/review.
Process ImprovementContinually seek and implement opportunities for process improvements, automation to drive efficiencies, reduction of cycle times, and improvements in quality.
Represent clinical data sciences' processes in cross-functional initiatives.
Actively engage in shared learning across the Data and Analytics organization.
Work with partners to increase vendor/partner efficiencies.
Recommend new or improved processes relating to clinical data management.
Minimum Qualif