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Cerus aims to be the global leader and trusted partner of blood centers and hospitals whose technology, services, and commitment are the lifeblood of safe and accessible blood for patients around the world.
This is a 6-month remote opportunity based out of the US.
Primary Responsibilities:
- Provide SAS programming support for analyzing clinical trials, supporting registrations, and creating reports for publications and ad hoc analyses.
- Develop SAS programs to generate TLFs meeting requirements using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL within applicable timelines.
- Draft and review data specifications and build analysis datasets.
- Review CRF design, data management plan, data validation plan, and edit check specifications.
- Interact with statisticians and interdisciplinary teams on timelines and content of deliverables.
- Follow validation and verification requirements for software developed within the department, including peer reviews.
- Develop, validate, and maintain macros and tools to enhance efficiency and quality of output.
- Prepare datasets and documentation that meet CDISC SDTM and ADaM standards for submissions.
- Provide technical leadership and support to the Biostatistics department as needed.
- Apply and promote good programming practices.
Qualifications/Requirements/Skills:
- B.S., M.S., or Ph.D. in statistics, biostatistics, computer science, or a related field with at least 7 years of experience as a SAS programmer in clinical trials.
- Excellent knowledge of Base SAS (macro language, Proc SQL, ODS), SAS/GRAPH, and SAS/STAT.
- Good knowledge of CDISC SDTM and ADaM models.
- Experience with ISS/ISE data preferred.
- Experience with other statistical packages (e.g., R, S-plus) is a plus.
- Knowledge of GCP principles and regulatory requirements.
- Aptitude for troubleshooting and independent work.
- Ability to follow validation and data transfer guidelines.
- Strong communication skills and ability to manage workload and priorities.
- Flexible and adaptable to changing priorities.
- Experience running SAS in Windows environment.
- Ability to set realistic timelines and complete tasks accordingly.
All qualified applicants will receive consideration regardless of race, sex, color, religion, sexual orientation, gender identity, national origin, veteran status, or disability.
Additional Details:
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Other and Engineering
- Industries: Biotechnology Research, Medical Equipment Manufacturing, Pharmaceutical Manufacturing