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Senior Clinical Data Science Programmer
Job summary
A leading healthcare intelligence organization is seeking a Senior Clinical Data Science Programmer for a remote position. You will develop programming solutions for clinical trials, collaborate with various teams, and mentor junior staff. Candidates should have a relevant bachelor’s degree and extensive experience in programming for CDMS with proficiency in SAS, R, or Python. Strong problem-solving, attention to detail, and advanced English communication skills are essential for this role.
Qualifications
- Bachelor’s degree in computer science, SAS, statistics, or life sciences.
- Experience in programming for clinical trials with proficiency in SAS, R, or Python.
- Strong problem-solving skills in a collaborative environment.
- Excellent attention to detail and organizational skills.
Responsibilities
- Develop and maintain programming solutions for CDMS.
- Collaborate with data managers and project managers.
- Act as a primary point of contact for programming-related questions.
- Support colleagues with clinical trials and CDMS concepts.
- Mentor junior programming staff and provide guidance.
Skills
Education
Tools
ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise.
- 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.
- Stay updated on advancements in programming languages and data management tools to enhance operational efficiencies.
- Complete bachelor’s degree relevant field such as computer science, SAS, statistics, or life sciences.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.