| Statistical Analyst (SAS) position in Chicago, IL _ Onsite _ Contract at Chicago, Illinois, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1954239&uid= From: Vinod, Themesoft Inc [email protected] Reply to: [email protected] Good Morning, Hope you are doing well. Please find the job details below and kindly send me suitable profiles. Role: Statistical Analyst Location: North Chicago, IL - Onsite Long Term Contract Responsible for statistical analysis and reporting activities in support of clinical trials and research studies. Programming and validating statistical analyses, generating tables, listings, and figures, performing quality control checks while staying up to date with the knowledge of industry best practices and GxP requirements. A close collaboration is required with the study team members; especially, with Statistics and Data Management. The ideal candidate should possess a bachelors or masters degree in a quantitative field, proficiency in programming languages commonly used in statistical programming, strong attention to detail and problem-solving skills, proficiency in using statistical software and programming tools, and effective communication skills. Applicable work experience of 4-6 years in pharmaceutical, biotechnology, or clinical research industry is required. Responsibilities: . Collaborate with statisticians to develop, review, and approve Statistical Programming Plans (SPP). Implement Statistical Analysis Plans (SAP) and SPP to create ADaM data specifications. 2. Program and validate ADaM and statistical analyses using programming languages (e.g., SAS, R), ensuring adherence to established standards and guidelines. 3. Generate tables, listings, and figures (TLFs) for clinical study reports, safety reports, and other deliverables, ensuring accuracy, consistency, and adherence to regulatory requirements. 4. Develop and maintain programming documentation, such as annotated program code, programming specifications, and validation plans. 5. Perform quality control checks on statistical programming deliverables to ensure accuracy, consistency, and adherence to programming standards. 6. Collaborate with cross-functional teams to support ad hoc data analyses, data visualization, and exploratory analyses as needed. 7. Assist in the development and implementation of standard programming macros, utilities, and tools to improve efficiency and consistency in programming tasks. 8. Stay updated with industry best practices, regulatory guidelines, and emerging technologies in statistical programming and data analysis. 9. Support the planning and execution of statistical programming-related audits, inspections, and regulatory submissions, ensuring compliance with relevant regulations and guidelines. 10. Collaborate with statisticians and study teams to provide programming support, address data-related queries, and contribute to study-related publications. TOP SKILLS: . Master's degree with 4+ years of experience or Bachelors degree with 6+ years of experience in statistics, computer science, engineering, or a related field. 2. Understanding of statistical methods, data analysis techniques, and clinical research processes. 3. Proficiency in programming languages commonly used in statistical programming, such as SAS or R. 4. Knowledge of CDISC standards. 5. Basic understating of drug development process with emphasis on clinical study life cycle. 6. Familiarity clinical study protocols, statistical analysis plans (SAPs), tables, listings, and figures (TLFs), and statistical programming documentation. 7. Experience in generating TLFs, programming macros, and data manipulation using SAS or other statistical programming languages. 8. Strong attention to detail and problem-solving skills, with the ability to identify and troubleshoot programming issues. 9. Proficiency in using statistical software and programming tools, such as SAS, R, and SQL. 10. Effective communication skills, both written and verbal, with the ability to interact professionally with statisticians, study teams, and external partners. 11. Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines. 12. Experience in statistical programming or clinical research, either through internships, academic research projects, or previous employment, is a plus. Thank you Vinod [email protected] Keywords: active directory rlang Illinois Statistical Analyst (SAS) position in Chicago, IL _ Onsite _ Contract [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1954239&uid= |
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| 08:49 PM 21-Nov-24 |