Ecoa - Clinical Study Build Programmer

Eli Lilly Eli Lilly · Pharma · US: Indianapolis IN Corporate Center, United States · Remote

This role focuses on programming and testing clinical trial data collection databases, including mapping, testing, and normalizing data into a clinical data warehouse. It requires expertise in data technology, data flow, data standards, database programming, normalization, and testing within the healthcare domain.

What you'd actually do

  1. 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
  2. Gather and influence eCOA design specifications and enable successful implementation
  3. Provide insights into the study design and data delivery (i.e. Data Management Plan, Project Plan, database, and observed datasets)
  4. 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
  5. 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

Skills

Required

  • Programming clinical data collection systems
  • eCOA/EDC platforms
  • Study build programming
  • Form logic
  • Edit checks
  • Workflows
  • Integrations
  • Data standards
  • Database programming
  • Data normalization
  • Data testing
  • Data flow
  • Clinical data warehouse mapping
  • Regulatory requirements (FDA, ICH, GCP, etc.)
  • Master's degree in Informatics/Analytics, Life Sciences, Statistics, Information Technology, Epidemiology, or Computer Sciences (or equivalent experience)

Nice to have

  • Data Sciences
  • Statistics
  • PK
  • Operations
  • Medical
  • Therapeutic/scientific knowledge in research
  • Balancing multiple activities
  • Prioritization
  • Managing ambiguity

What the JD emphasized

  • in-depth understanding of data technology, data flow, data standards, database programming, normalization and testing
  • 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)
  • Possess a deep understanding of the technology used to collect clinical trial data
  • Master’s degree in a scientific field such as Informatics/Analytics, Life Sciences, Statistics, Information Technology, Epidemiology, Computer Sciences
  • Experience with designing and handling eCOA data Articulating the flow of data (structure and format) from patient to analysis, applying this knowledge to data solutions
  • Familiarity with clinical data tools and technologies
  • Understanding and experience in using data standards