Analyst supporting Supply Chain and Operations at Grainger to maximize storage and throughput across Distribution Centers. Collaborating with various teams, ensuring data - driven analytics guide decision - making.
About the role
- Clinical Programmer focused on clinical data programs and data visualization utilizing Python. Collaborating with teams to ensure compliance and effective data management.
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.
Requirements
- 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.
Benefits
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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