Senior Clinical Database Developer

Summary Provide timely professional ongoing Mgmt of Data Mgmt Coding CDDRA-Database Development DAP deliverables and of clinical trial data with respect Provides comprehensive expertise for multiple or complex global clinical studies ensuring consistent and high-quality generation of specification production and validation of clinical data collection systems and associated metadata with high quality on time and within budget in accordance with project budgets Interpret data collection requirements into data models of moderate complexity and uses relevant programming language to build EDC warehouse setup Major accountabilities 1 Serves as the primary study lead ensuring timely and quality deliverables a Leads the effective and timely development and implementation of clinical systems for assigned studies b Uses advanced database programming techniques to solve study specific complex validation or custom development needs c Understand and manages study metadata to compliment data provisioning in compliance with global standards d Coordinates database development and conducts database testing e Develops data models to support data review and acquisition standards 2 Establishes and maintains strong working relationships with study teams and functional lines 3 Acts as a technical consultant ensuring appropriate development maintenance and use of all system capabilities such as electronic data capture database programming edit check programming report programming electronic data load interactive response technology electronic patient reported outcomes metadata management and other clinical database development activities 4 Ensures that systems meet regulatory requirements internal standards and are deployed with exceptional quality eliminating post production changes 5 Lead independently or participate in improvement initiatives and or non-clinical projects 6 Communicate and ensure that study objectives and priorities are met according to agreed timelines strategies quality and scientific standards 7 Responsible for multiple studies in parallel with minimal supervision mentoring 8 Coordinates resources to ensure study objectives are met 9 Contributes to the development updates of Clinical Systems processes and supports training on systems and processes to ensure compliance Key performance indicators Achieve overall goals as set each year by Global Head Clinical Data Operations GCO Achieve high level of Quality timeliness and customer satisfaction on Clinical Data Operations activities deliverables and support No critical findings as result of routine audits or health authority inspections relating to activities deliverables supported by the Clinical Standards Group Minimum Requirements Work Experience 1 At least 5 years of experience in setup of clinical databases Data Warehouse using RAVE or OC-RDC or LSH 2 Excellent interpersonal and written and oral communication skills with the ability to effectively communicate cross-functionally 3 Advanced technical skills a Expert knowledge of EDC - Medidata RAVE preferred b Excellent understanding of relational databases c Microsoft Office Suite d Knowledge of other programming languages such as SQL PL SQL VBscript SAS C or Java preferred e Experience in Custom Functions is an added advantage 4 Demonstrated ability to consistently produce detailed high quality deliverables in a team environment 5 Excellent problem-solving project management negotiation and conflict resolution skills 6 Good understanding of Drug Development Process ICHGCP and Health Authority Guidelines Regulations 7 Ability to mentor within Clinical Sytems and cross functionally and coordinate internal and external training 8 Ability to effectively lead and contribute to initiatives requiring Clinical Database acquisition tools and design expertise 9 Excellent planning resource and project management skills 10 Working knowledge of relevant industry standards including CDASH and SDTM is preferred Skills Desired Clinical Data Management Databases Data Governance Data Integrity Data Management Data Quality Data Science Waterfall Model