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Biostatistical Programmer

2 months ago

New York, New York, United States Katalyst HealthCares & Life Sciences Full time
Job Summary

Katalyst HealthCares & Life Sciences is seeking a highly skilled Statistical Programmer Consultant to join our team. As a key member of our study team, you will provide timely support on all programming matters, ensuring the successful execution of our clinical studies.

Responsibilities
  • Programming Support: Collaborate with the study team to design, develop, and implement programming standards and tools, ensuring compliance with internal guidelines and regulatory requirements.
  • Analysis and Reporting: Develop and execute statistical analysis plans, creating high-quality reports and visualizations to support study findings.
  • Database Management: Design and maintain relational database structures, ensuring data integrity and security.
  • Team Collaboration: Work closely with cross-functional teams, including programming leads, statisticians, and study managers, to ensure seamless project execution.
  • Quality Assurance: Participate in quality control processes, ensuring adherence to company SOPs and guidelines.
Requirements
  • Technical Skills: Proficiency in SAS programming, including Base, Stat, Macro, and Graph. Experience with relational database structures and reporting systems.
  • Education and Experience: Bachelor's degree in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field, with a minimum of 2 years of programming experience in a clinical data environment.
  • Soft Skills: Excellent teamwork and interpersonal skills, strong verbal and written communication skills, and ability to work in a global environment.
About Katalyst HealthCares & Life Sciences

Katalyst HealthCares & Life Sciences is a leading science-based biopharmaceutical company that discovers, invents, develops, manufactures, and commercializes medicines for the treatment of serious medical conditions. We are committed to delivering innovative solutions that improve patient outcomes and advance the field of healthcare.