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Every member of Celerion is involved in making a distinctive contribution to the health and well-being of people around the world. That's the sense of purpose shared by our employees. We are a performance-driven drug research company, operating in robust and growing markets. We have an exciting future and offer a strong development environment for our great employees.
Come be part of our Data Management and Biometrics team as a Data Programmer.
The purpose of the Data Programmer role is to develop and support clinical database programming activities and associated documentation involved in clinical trial set-up, conduct and close-out stages in line with protocol requirements, standard operating procedures (SOPs/PGs), Good Clinical Programming Practices (GXP), Clinical Data Interchange Standards (CDISC) and other applicable sponsor or regulatory requirements.
Essential Functions:
- SAS Pre-lock programming - Deliver and support all pre-database lock SAS programming processes associated with data collection, reporting and cleaning
- Data import and integration - Support data import programming and reconciliation activities as needed
- Data transfer programming - Deliver and support raw/CDASH, lab only, CDISC/SDTM or sponsor specified custom data transfers
- Process Improvements - Actively participate in process improvement initiatives
- Quality/timelines - Ensure that data programming delivers quality outputs on time or better following good programming practices, including adequately-documented SAS code
Training will be provided on clinical research data programming skills.
Education and Skill requirements
- Bachelor's degree with 1+ yrs programming experience OR comparable experience in related industry, previous experience with SAS and clinical data preferred.
- Computer science, Mathematics or IT graduate applicants also considered.
- Demonstrated communication and interpersonal skills
- Demonstrated problem solving and decision making skills
- Demonstrated ability to manage multiple priorities
- Internal Celerion candidates with strong clinical data review, data management or IT background will also be considered.
