Sr. Manager, Statistical Programming

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Paris (TX)

Remote

USD 140,000 - 190,000

Full time

9 days ago
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Job summary

Proclinical is seeking a Sr. Manager, Statistical Programming to lead and provide technical expertise across multiple clinical development programs. This remote, full-time role focuses on SAS programming, SDTM/ADaM development, and delivering TLFs and regulatory submission deliverables.

You will mentor teams, manage outsourced work, ensure audit-ready study documentation, and promote established standards while working with international stakeholders.

Qualifications

  • Advanced proficiency in SAS programming within a clinical research environment.
  • Strong knowledge of CDISC standards, including SDTM and ADaM.
  • Proven experience in developing and programming SDTM and ADaM datasets.

Responsibilities

  • Lead statistical programming activities for multiple clinical studies and programs.
  • Ensure timely delivery of high-quality programming deliverables, whether internal or vendor-produced.
  • Oversee programming activities related to global regulatory submissions and responses to health authorities.

Skills

SAS programming
CDISC SDTM
CDISC ADaM
TLFs and reporting
Regulatory submissions
Mentoring & leadership

Education

Master's degree preferred
Bachelor's degree with relevant experience

Tools

R

Job description

Ready to lead the statistical programming strategy behind innovative clinical development programmes and global regulatory submissions?

Proclinical is seeking a Sr. Manager, Statistical Programming to lead and provide technical expertise across multiple clinical development programs within a specific therapeutic area. This is a full-time position with the flexibility to work remotely.

Responsibilities:

  • Lead statistical programming activities for multiple clinical studies and development programs.
  • Ensure timely delivery of high-quality programming deliverables, whether produced internally or by external vendors.
  • Maintain consistency in processes, standards, and execution of programming activities across assigned studies.
  • Support and oversee programming activities related to global regulatory submissions and responses to health authorities.
  • Manage outsourced programming activities, ensuring adherence to quality, budget, and timelines.
  • Review and supervise the production of programming deliverables, including:
  • Tables, Listings, and Figures (TLFs)
  • SDTM and ADaM datasets
  • xml files and associated documentation
  • Contribute to the development, implementation, and continuous improvement of programming standards, SOPs, validation processes, and best practices.
  • Maintain study documentation in compliance with regulatory requirements, ensuring audit and inspection readiness.
  • Identify opportunities to optimize workflows, promote innovative approaches, and address programming needs for increasingly complex study protocols and methodologies.

Key Skills and Requirements:

  • Advanced proficiency in SAS programming within a clinical research environment.
  • Strong knowledge of CDISC standards, including SDTM and ADaM.
  • Proven experience in developing and programming SDTM and ADaM datasets.
  • Expertise in generating reports, TLFs, and other statistical outputs.
  • Experience supporting clinical development programs and trials.
  • Familiarity with regulatory submission processes (e.g., NDA, sNDA, or equivalent).
  • Strong collaboration and communication skills, with the ability to work effectively in multidisciplinary and international teams.
  • Proactive stakeholder management and decision‑making abilities.
  • Excellent planning, organizational, and prioritization skills.
  • Ability to mentor, train, and influence team members and project teams.
  • Knowledge of R or other statistical programming tools is a plus.
  • Solid understanding of the clinical data lifecycle and data management processes.
  • Educational background in Statistics, Mathematics, Computer Science, Life Sciences, or a related field (Master's degree preferred; Bachelor's degree considered with relevant experience).
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