
Senior Manager, Statistical Programming
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in India.
• Lead and manage a global team of Statistical Programmers.
• Oversee and coordinate statistical programming tasks across various clinical development initiatives.
• Supervise the creation and evaluation of SDTM datasets, ADaM datasets, Tables, Listings, and Figures (TLFs).
• Ensure that study work is adequately resourced, completed on schedule, within budget, and meets client expectations.
• Provide ongoing feedback, coaching, mentoring, and development support to team members.
• Engage in performance management and evaluation of new team members.
• Develop best practices, controlled documents, templates, reusable text, and other relevant work products.
• Identify departmental challenges and collaborate with senior leadership to address them.
• Act as a senior reviewer and offer support for Statistical Programming tasks.
• Lead or assist with client deliverables for large, complex, or high-priority projects.
• Represent the Statistical Programming team to internal senior leadership and external organizations, including during audits, bid defenses, and conferences.
• Assist the Director of Biostatistics with corporate goals, departmental development, industry trends, and related matters.
• Lead special projects and initiatives aimed at enhancing departmental efficiency, profitability, and operational excellence.
• Establish team goals and expectations while supporting recruitment strategies.
• Manage financial aspects of projects for studies supervised by direct reports.
• Plan and coordinate statistical programming for regulatory submission integration efforts.
• Consult with internal teams on statistical programming for clinical trials across various therapeutic areas.
• Assist with resource forecasts, planning, metrics, and KPIs.
• Bachelor’s degree or higher in mathematics, statistics, biostatistics, computer science, or a related field.
• More than 10 years of experience in Statistical Programming.
• Proficiency in SAS and R.
• Experience in a CRO setting is preferred.
• Familiarity with industry standards and best practices.
• Ability to manage statistical programming projects, including quality control, budgets, timelines, and resource allocation.
• Capability to support regulatory submission integration work.
• Ability to provide consultation on statistical programming for clinical trials.
• Proficiency in supporting resource forecasting, planning, metrics, and KPIs.
• Opportunity for remote work.
• Emphasis on work-life balance.
• Opportunities for career growth and development.
• Collaborative environment with an international team.
• Access to coaching, mentoring, and development support.
• Continuous learning opportunities.
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