Senior Clinical Data Science Programmer
Our organization is seeking a highly skilled Senior Clinical Data Science Programmer to join our team. In this role, you will play a pivotal part in developing and implementing programming solutions to support the analysis and reporting of clinical trial data.
Required Skills and Qualifications
* Develop, validate, and maintain programming solutions for CDMS (EDC systems such as Rave/Veeva), data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials.
* Collaborate with data managers, project managers, clinical data scientists, and biostatisticians to ensure the integration of programming solutions into the overall data management process.
* Act as a primary point of contact during the study set up and maintenance phase for system programming related questions by the project team.
* Support colleagues with the clinical trials environment and concepts of Clinical Data Management Systems.
* Perform extracts of data from CDMS and creation of data transfer programs.
* Act as mentor and provides guidance and support to more junior programmer levels assigned to a project.
* Assist in the development and implementation of improvements to technical systems and processes within an SME role.
* Provide guidance on programming best practices, coding standards, and data quality control measures.
Benefits
* Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment.
* Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results.
* Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes.
* MUST HAVE advanced English Communication, Writing and Reading skills.
Others
You should have a complete bachelor's degree relevant field such as computer science, SAS, statistics, or life sciences, with extensive experience in programming for CDMS (EDC systems such as Rave/Veeva), data validation outputs, data review/risk management outputs, custom reports, and programs in clinical trials with proficiency in languages such as SAS, R, or Python.