Senior SAS Programmer
15~25K CNY/Per month
Full-time
3~5 years
Refresh at 3 months ago
106 Views
14 Apply
China, Beijing
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Job responsibilities
Job Responsibilities
1. Write the project programming description document based on the project documentation.
2. Develop, validate and maintain SAS programs for data analysis, reporting and data management, including but not limited to the creation of datasets such as SDTM and ADaM, to ensure compliance with clinical data submission standards.
3. For clinical research reports and regulatory filings, complete the production of high-quality forms, lists and charts (TLFs) to ensure compliance with domestic and international regulatory requirements.
4. Write all other documents in the data submission.
5. Review documents from both internal and external sources, communicate with relevant project personnel, and provide program writing support.
6. Support the development of new technologies, SAS macros and applications.
7. Assist senior SAS programmers in completing various types of clinical trial data statistical analysis services.
8. Complete other related work of the department.
Job Requirements
Job Requirements
Bachelor's degree or above in statistics, data analysis, computer science or related fields.
2. Have more than 3 years of working experience as a SAS programmer, with experience in participating in projects such as data analysis, report compilation, and business modeling.
3. Proficient in the basics of SAS programming, familiar with SAS statistical analysis, data mining and modeling techniques, and possess programming capabilities.
4. Master data processing and data cleaning skills, and be proficient in using auxiliary analysis tools such as Excel and Python.
5. Possess excellent communication skills, be able to collaborate effectively with team members to complete project tasks together, and have a strong sense of teamwork and problem-solving abilities.
6. Be familiar with data statistics and analysis services in various therapeutic fields.
7. Have experience in international project applications (such as FDA, EMA), and be familiar with ICH-GCP guidelines.
8. Proficient in biostatistical methods and SAS modeling methods.
9. Excellent English listening, speaking, reading and writing skills, capable of proficiently using English to attend international conferences.
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