Associate Director, EDC Programming
- Lead the setup, development, and validation of EDC systems, including configuration settings, integration with other applications, and subsequent updates
- Create and maintain study databases, including eCRF design, edit checks, and custom functions in a timely manner with high quality
- Collaborate with cross-functional teams to ensure study requirements are adequately defined and help translate them into functional EDC specifications
- Collaborate with Medidata support and internal teams to troubleshoot and optimize platform performance
- Serve as the subject matter expert (SME) for Medidata Rave, providing technical guidance and support to the team
- Review software upgrades and database releases for impact to configurations
- Provide support to DMs in creation of data listings using RAVE tools (e.g., Business Objects, other) and non-RAVE tools/applications (e.g., JReview, other)
- Facilitate/ support troubleshooting and resolution of technical issues related to Medidata Rave
- Partner with internal data teams to support automation, reporting, and data exchange solutions
- Ensure all programming solutions comply with GCP, 21 CFR Part 11, and CDISC ODM Standards
- Ensure EDC systems comply with regulatory requirements (e.g., FDA, EMA, ICH-GCP) and company SOPs
- Perform user acceptance testing (UAT) and validation of EDC systems to ensure data integrity and accuracy
- Implement and monitor data quality checks to identify and resolve discrepancies
- Collaborate with partners (e.g., DSQA, CSV, CQA, other) to maintain compliance with EDC systems and associated applications
- Support audits and inspections by providing technical expertise and system documentation
- Ensure data integrity, system reliability, and regulatory compliance across all phases of clinical development
- Mentor and guide junior EDC programmers, fostering innovation, accountability, and continuous learning
- Collaborate with external vendors and CROs to ensure seamless integration of EDC systems
- Provide training and support to end-users on Medidata Rave, other EDC tools, and emerging technologies
- Identify opportunities to streamline EDC programming processes and improve efficiency
- Stay updated on industry trends and advancements in EDC technologies, particularly Medidata Rave
- Contribute to the development and implementation of best practices for EDC programming
- Develop and contribute on SOP creation
- Bachelor's degree in Life Sciences, Computer Science, Information Technology, or a related field. Advanced degree preferred
- Minimum of 7+ years of experience in EDC programming, configuration, and management of EDC systems, with at least 5 years of hands-on experience with Medidata Rave. Proven track record of leading EDC system design and implementation for clinical trials
- Advanced proficiency in the broader Medidata Clinical Cloud suite (e.g., Rave EDC, Rave Coder, Lab Administration, RTSM, eCOA, TSDV, RSG, and Designer) would be strongly desirable
- In-depth knowledge of regulatory requirements (e.g., FDA, EMA) and clinical development processes
- Advanced proficiency in custom function programming, using C# is desirable
- Preferred proficiency in Python, C#, and JSON to support custom database integration programming, automation, development of custom tools, and data exchange solutions that enhance clinical trial efficiency
- Solid understanding of CDISC standards (CDASH, SDTM) and regulatory requirements for clinical data
- Experience with programming languages such as SQL, SAS, or Python is a plus
- Problem-solving skills, attention to detail, and the ability to work in a fast-paced, collaborative environment!
- Strong communication and interpersonal skills, with the ability to collaborate effectively across teams!
- Preferred experience in gene therapy and familiarity with biometrics technology software tools
- Flexible approach to how we work
- Health benefits and time-off plans
- Competitive compensation package, including bonus
- Equity Awards (Long-Term Incentives)
- Employee Stock Purchase Plan (ESPP)
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