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Katalyst Healthcares and Life Sciences

Sr Statistical Programmer

Katalyst Healthcares and Life Sciences, Cranbury, New Jersey, us, 08512


Responsibilities:

Develop, validate, and execute SAS programs for data extraction, transformation, and statistical analysis.Perform complex data manipulations, including merging, sorting, and aggregating large datasets.Generate tables, listings, and figures (TLFs) to summarize and present analytical results.Using SAS, perform SDTM, ADaM, and table, figure, and listing (TFL) programming, quality control (QC) review, and create documentation of programs used in creating statistical outputs.Follow current SDTM standards and current ADaM Implementation Guides.Ensure the accuracy and consistency of data by conducting quality checks and validating analysis results.Follow best practices for programming and maintain a well-documented codebase.Review and QC programs and outputs generated by junior programmers.Collaborate with cross-functional teams, including statisticians, data scientists, clinical researchers, and project managers.Communicate effectively with team members and stakeholders to understand project requirements and deliverables.Stay up-to-date with industry standards and regulatory guidelines (e.g., FDA, ICH) to ensure data integrity and compliance.Contribute to the preparation of regulatory submissions by providing statistical outputs and documentation.Manage multiple projects simultaneously, ensuring timelines and deliverables are met.Provide mentorship and guidance to junior SAS programmers as needed.Prepare and maintain documentation, including analysis plans, data dictionaries, and programming specifications.ssist in the development of standard operating procedures (SOPs) related to SAS programming.Requirements:

Bachelor's or Master's degree in a relevant field (e.g., Statistics, Computer Science, Life sciencess).6 -7years of experience in SAS programming, with a proven track record of working on complex data analysis projects.Pharma/biotech/medical device/CRO experience.Proficiency in SAS programming, including BASE SAS, SAS/STAT, SAS/MACRO, and SAS/GRAPH.strong background in statistical analysis and data management.Familiarity with clinical trial data and CDISC standards is often preferred.Strong problem-solving skills and attention to detail.Excellent communication and interpersonal skills.bility to work both independently and collaboratively within a team.