Job
Description
About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 300+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey We are currently seeking a Programmer Analyst with a strong hands-on experience in EDC platforms such as Medidata RAVE, InForm, Central Designer, or Veeva Studio. The ideal candidate will possess a solid understanding of clinical data standards, protocol interpretation, and the ability to build high-quality, compliant EDC databases. As a Programmer Analyst, you will play a crucial role in supporting the end-to-end development of clinical databases and ensuring data integrity throughout the trial lifecycle. Your responsibilities will include interpreting clinical trial protocols to design eCRFs and build databases using Medidata RAVE, InForm, Central Designer, or Veeva Studio. You will be responsible for configuring systems, implementing edit checks, dynamic rules, and custom functions (C# for RAVE) based on DVS. Additionally, you will conduct technical and functional reviews, support Sponsor Acceptance Testing (SAT), and ensure accuracy across all database components. You will also manage protocol amendments, metadata updates, lead ICRM/SAM meetings, and resolve issues in QC, UAT, and production environments. Handling migrations, RFCs, and post-go-live activities, generating sponsor reports (JReview, SAS, BOXI), acting as DB Coordinator across trials, and mentoring junior team members will also be part of your role. Key Requirements: - 3 to 5 years of hands-on experience with at least one EDC platform such as Medidata RAVE, InForm, Central Designer, or Veeva Studio (combination preferred). - Proficiency in eCRF design, edit checks, dynamic rules, and custom functions (e.g., C# for RAVE). - Solid understanding of clinical trial protocols, DVS interpretation, CDPS/SDV strategy, CRF annotation, and post-go-live activities, including migrations and RFCs. - High attention to detail with strong adherence to ICH GCP and clinical data standards. - Excellent written and verbal communication skills for effective team and sponsor collaboration. - Educational background in BE/B.Tech, M.Sc./MCA, or B.Sc./BCA in Computer Science or a related stream with consistent academic performance of 60% or above in 10th, 12th, and graduation.,