What are the responsibilities and job description for the Sycamore SCE Administrator (Statistical Computing Environment) position at Virtualan Software?
Job Details
Job Title: Sycamore SCE Administrator (Statistical Computing Environment)
Location: Hybrid at Boston, MA
Job Type: C2C / Full time
Overview:
We are seeking an experienced Sycamore SCE Administrator to manage and maintain our Statistical Computing Environment (SCE) used for clinical and statistical analysis. The ideal candidate will have deep hands-on experience with the Sycamore platform and a strong background in statistical computing within regulated environments such as pharmaceuticals or life sciences.
Key Responsibilities:
- Lead the setup, configuration, and maintenance of the Sycamore SCE platform to support data analysis and statistical programming workflows.
- Manage user provisioning, access controls, and permissions to ensure secure and compliant access to data and tools.
- Integrate and support statistical tools and programming languages such as R, SAS, Python, and others within the SCE environment.
- Collaborate with cross-functional teams including IT, Biostatistics, Clinical Data Management, and QA to align SCE capabilities with project needs.
- Ensure regulatory compliance with standards such as 21 CFR Part 11, GxP, and internal SOPs through implementation of audit trails, documentation, and controlled access.
- Troubleshoot platform issues and provide ongoing support to end-users.
- Develop and maintain standard operating procedures (SOPs), technical documentation, and configuration guides.
- Monitor system performance and recommend optimizations for scalability, reliability, and efficiency.
- Support data governance by managing data access policies and ensuring secure data workflows.
Qualifications:
- Bachelor s or Master s degree in Computer Science, Information Technology, Life Sciences, or a related field.
- Minimum of 3 5 years of hands-on experience administering Sycamore SCE in a regulated environment.
- Strong understanding of clinical trial data workflows and statistical programming requirements.
- Familiarity with regulatory requirements such as FDA 21 CFR Part 11, GxP, and audit readiness.
- Experience with Linux-based environments, scripting (e.g., Bash, Python), and containerization tools is a plus.
- Excellent communication and documentation skills.
Preferred Skills:
- Experience with cloud-hosted SCE environments (e.g., AWS, Azure).
- Exposure to DevOps tools (e.g., Jenkins, Git, Docker) used in statistical or data science environments.
- Knowledge of data privacy and security protocols in clinical research.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60 - $70
