Manager, Statistical Programming

Manager, Statistical Programming

Location:

United States

Workplace Type:
Remote

The Manager, Statistical Programming is responsible for managing all aspects of statistical programming activities and assigned direct reports. This includes managing programming study deliverables, participating in the development and maintenance of departmental standards, training and mentoring staff, as well as developing and maintaining macros.

• Onboarding of new employees; including training on statistical programming procedures and systems
• Coordinate the workload of the Statistical Programming team to ensure deliverables and timelines are met
• Mentor, monitor and supervise direct reports (including monitoring time reporting and training requirements)
• Responsible for the hiring, promotion, transfer and release of staff
• Conduct performance reviews and assist with goal setting of direct reports
• Provide input on resource planning and assignments
• Project budget oversight; including revenue recognition, forecasting, billing, invoicing and change orders
• Identify and manage project risks
• Participate in biostatistics candidate interviews
• Implement and maintain performance metrics
• Facilitate department meetings
• Ensure all programming deliverables follow departmental standards and programming specifications and are of the highest quality
• Contribute to the development and implementation of programming standards and templates
• Drive department initiatives
• Implement and support CDISC and other regulatory standards
• Develop training materials and deliver training
• Design, develop, document, validate and maintain macros and utilities to improve quality and efficiency of processes
• Serve as Statistical Programmer for complex studies or large client portfolios. Apply knowledge of SAS programming to program/develop and/or validate statistical outputs according to the statistical analysis plan and other specifications; including but not limited to:
  • Analysis datasets (SDTM, ADaM, other derived datasets)
  • Tables, listings and figures
  • xml/Reviewer's Guide
  • Integrated summaries
• Work effectively with biometrics colleagues and other cross-functional team members to ensure accurate and high-quality statistical outputs

• Strong understanding of departmental and company procedures; ability to guide others on procedures
• Participate in the development and revision of department SOPs
• Ensure staff are adequately trained on and are following SOPs

• Support the business development process; RFI completion, proposal development, bid defense participation, attendance at industry/scientific meetings, etc.

• Assist in the preparation and review of monthly financial reporting
• Promote visibility outside of the functional area and effectively interact cross-functionally and in industry
• Perform other duties as requested by management

• An advanced degree (MS or PhD) in Statistics, Computer Science, or a closely related field; work experience may be substituted for degree
• Minimum of 8 years direct SAS programming experience in pharmaceutical development or CRO environment
• Strong SAS programming skills, knowledge clinical trial conduct and industry standards are required
• The ideal candidate will have 2 years of management/leadership experience, but is not required
• Excellent oral and written communication skills, organizational skills, and attention to detail are required

• Thorough understanding of the skills and knowledge relevant to the function. Successful experience in a variety of complex assignments under normal supervision.
• Tailors communication (e.g. content, style, and medium) to diverse audiences. Communicates equally effectively at varied organizational levels. High level of written, presentation, and verbal communication skills.
• Searches for ways, ideas and mechanisms to add value to the customer. Develops services and options to support ongoing customer relationships. Prioritizes customer issues and addresses them accordingly.
• Develops new approaches to improve or replace existing procedures or systems. Tries to break new ground and be…