eCOA - Clinical Study Build Programmer

Eli Lilly2 Locationsonsite$80k–$117kView the original posting at Eli Lilly ↗

At 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 Study Build Programmer - eCOA is responsible for programming and testing clinical trial data collection databases, including the mapping, testing and normalization of data into a clinical data warehouse. This requires an in-depth understanding of data technology, data flow, data standards, database programming, normalization and testing. The Clinical Study Build Programmer will collaborate with Data and Analytics colleagues such as the Clinical Data Associate, Clinical Data Manager and other key business partners to deliver standardized data collection methods and innovative validation solutions for use in global clinical trials. Portfolio Delivery Proficiency in programming and configuring clinical data collection systems (e.g., eCOA/EDC platforms) Study build programming expertise (e.g., form logic, edit checks, workflows, integrations) Program and test data collection systems and associated data repository mappings for a trial or set of trials within a program using data standards library components Gather and influence eCOA design specifications and enable successful implementation Understand study translation needs and enable localization Ensure data collection systems and data warehouse mappings are delivered accurately, efficiently and in alignment with study objectives Provide insights into the study design and data delivery (i.e. Data Management Plan, Project Plan, database, and observed datasets) Support submission, inspection and regulatory response activities Lead cross Business Unit/Therapeutic Area projects or programs with high complexity Possess a deep understanding of the technology used to collect clinical trial data Develops and tests new ideas and/or applies innovative solutions Project Management Increase speed, accuracy, and consistency in the development of systems solutions Enable metrics reporting of study development timelines and pre and post production changes to database Partner with Data and Analytics colleagues such as the Clinical Data Associate, Clinical Data Management Associate to deliver study database per business need and before first patient visit Influence data standard decisions and strategies for a study and/or program Effectively apply knowledge of applicable internal, external and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to study database building Integrates multi-functional, external information and technical knowledge to support data-driven decision making Enterprise Leadership Continually seek and implement means of improving processes to reduce study build cycle time, decrease work effort and enable the normalization of various sources of data into a common data repository in a way that allows for improved integration, consumption and downstream analysis Work to reduce postproduction changes change control process Anticipate and resolve key technical, operational or business problems that impact the Data and Analytics organization Thinks with end to end in mind consistently managing risk to minimize impact on delivery Strong awareness with external developments, timelines Focuses on defining database solutions and timelines in support of advancing the portfolio Minimum Qualification Requirements: Master’s degree in a scientific field such as Informatics/Analytics, Life Scien

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