Contract Medidata Rave Programmer Jobs in Texas (NOW HIRING)

A Contract Medidata Rave Programmer is an information technology specialist hired on a temporary or project basis to design, configure, and maintain clinical trial databases using Medidata Rave, a leading electronic data capture (EDC) system in the pharmaceutical and biotechnology industries. Their responsibilities typically include creating electronic Case Report Forms (eCRFs), managing edit checks, programming custom data exports, and supporting data validation activities. These programmers collaborate closely with data managers, clinical teams, and statisticians to ensure that clinical data is accurately captured and compliant with regulatory standards.

To thrive as a Contract Medidata Rave Programmer, you need expertise in clinical data management, EDC systems, and programming languages such as SQL or SAS, typically backed by a degree in life sciences or computer science. Proficiency with Medidata Rave, eCRF design, and understanding of CDISC standards are essential, along with relevant certifications like Medidata Rave Certified Professional. Attention to detail, analytical thinking, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data quality. These skills and qualifications are vital for building reliable clinical databases and supporting accurate data capture in regulated clinical trials.

As a Contract Medidata Rave Programmer, you will regularly interface with clinical data managers and biostatisticians to ensure that electronic data capture (EDC) systems meet protocol specifications and study requirements. You’ll participate in requirements gathering, review case report forms (CRFs), and address data validation needs, often through meetings and collaborative platforms. Effective communication and responsiveness are crucial, as you may need to troubleshoot issues, implement mid-study changes, or clarify data logic to support study timelines. This collaborative environment helps ensure high-quality data collection and smooth study execution.