Ecoa Build Programmer-1

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

**Organization Overview**:
The electronic Clinical Outcomes Assessment (eCOA) Build Programmer is responsible for designing, 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. This role will collaborate with Data and Analytics colleagues such as the Clinical Data Associate, Clinical Data Manager, Statistician and other key partners to deliver standardized data collection methods and innovative validation solutions for use in global clinical trials.

**Responsibilities**:
Portfolio Delivery:

- Gather and influence eCOA design specifications to enable successful trial implementation
- 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
- Ensure data collection systems and data warehouse mappings are delivered accurately, efficiently and in alignment with study objectives
- Partner with translation vendors to implement localized data collection
- Partner with Clinical Build Programmer to ensure complete data build for trial data collection needs
- Provide insights into study level deliverables (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
- Opportunity to develop and tests new ideas and/or applies innovative solutions that add new value to the portfolio

Project Management:

- Increase speed, accuracy, and consistency in the development of systems solutions
- Enable metrics reporting of study development timelines and pre and postproduction changes to database
- Partner to deliver study database per business need and before first patient visit
- Follow and influence data standard decisions and strategies for a study and/or program
- Utilize therapeutic knowledge and possess a deep understanding of the technology used to collect clinical trial data
- Integrates multi-functional and/or external information and applies technical knowledge to 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
- Represent Data and Analytics processes in multi-functional initiatives
- Actively engage in shared learning across Data and Analytics organization
- Work to Increase re-usability of screens and edits by improving the initial design
- Work to reduce postproduction changes change control process
- Anticipate and resolve key technical, operational or business problems that impact the Data and Analytics organization
- Interacts with regulators, business partners and outside stakeholders on business issues
- Thinks with end to end in mind consistently managing risk to minimize impact on delivery
- Builds a diverse multi-functional and internal/external network to understand how different disciplines and approaches contribute to research and development
- Focuses on defining database solutions and timelines in support of advancing the portfolio

**Basic Qualifications**:

- Bachelor’s degree in computer science, engineering, medical field, Informatics, Life Sciences, ,
- Statistics, Information Technology, with 3 or more years of hands-on experience in database programming, or a combination of clinical data management, system validation and data analysis, experience in the clinical, pharmaceutical, biotech, CRO or regulatory agency sectors

**Additional Preferences**:

- Masters degree in computer science, engineering, medical field, Informatics, Life Sciences,, Statistics, Information Technology or a related analytics discipline
- Quick learner to new trends in technology
- Excellent leadership, communication (written and oral) and interpersonal skills
- Demonstrated leadership in professional setting
- Demonstrated teamwork and collaboration in a professional setting
- eCOA, eSource or Direct Data Capture implementation
- Data analytics and visualizations
- Deciding the techno