Responsibilities :
- Conduct statistical programming and analysis of clinical research studies.
- Provide programming support for publication efforts and regulatory submissions.
- Manage the timely creation, review, completion, and delivery of statistical programming activities and deliverables for study projects.
- Perform acquisition and curation of data, including full Clinical Data Interchange Standards Consortium (CDISC) standardization and Pseudo-CDISC Standardization.
- Document and implement programming endpoint algorithms across various projects.
- Review and provide feedback on Statistical Analysis Plans.
- Manage the end-to-end analytics of deliverables from data curation through final presentation, which may include preparation for abstracts and manuscripts.
- Inform internal and external project team members of statistical programming requirements, deliverable status, and resource needs.
- Program clinical research data to facilitate ease of analysis for observational, hypothesis-generating studies.
- Conduct exploratory analyses to support publication and abstract submissions.
- Communicate statistical results to stakeholders to ensure accurate interpretation.
Requirements :
- Master's degree or foreign equivalent in Biostatistics or a related field.
- years of experience as a Statistical Programming, Clinical Trial Analytics Intern, or a related role within the public health, biomedical, or medical device industries.
- Proficiency in SAS Programming, SAS Macros, R / R Studio, Clinical Trial Design, and Data Analysis.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work collaboratively in a team environment and communicate effectively with cross-functional teams.
- Excellent organizational skills and the ability to manage multiple tasks and projects simultaneously.
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