We are seeking a highly skilled and experienced Clinical Programmer (Python) to join our FSP Team.
Key Responsibilities:
Develop, test, and validate clinical data programs and applications.
Ensure compliance with CDISC SDTM standards for clinical data.
Utilize visualization tools such as Sport fire or other similar tools to create insightful data visualizations.
Write and maintain Python scripts for data manipulation and analysis.
Collaborate with cross-functional teams to support clinical data needs.
Provide technical guidance and mentorship to junior programmers.
Participate in the development and implementation of data management plans.
Troubleshoot and resolve programming issues in a timely manner.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or a related field.
Extensive experience in clinical data programming and Data Visualization.
Strong experience with Python programming ((PySpark, Databricks, pandas, Numpy) is mandatory for this role.
Good SDTM Knowledge
Strong SAS/R Programming and SQL expertise
Proficiency in CDISC SDTM standards.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Ability to work independently and manage multiple tasks simultaneously.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.