Sycamore SCE Administrator (Statistical Computing Environment)

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.