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Director Statistical Programming

in 55116, Mainz, Rheinland-Pfalz, Deutschland
Unternehmen: ClinChoice
Vollzeit position
Verfasst am 2026-01-21
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Datensicherheit, Daten Analyst, Data Science Manager, Datenwissenschaftler
Gehalts-/Lohnspanne oder Branchenbenchmark: 100000 - 125000 EUR pro Jahr EUR 100000.00 125000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: 1480# Director Statistical Programming- Permanent Role

1480# Director Statistical Programming
- Permanent Role

Mainz, Germany

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….

Clin Choice is currently recruiting for a Director of Statistical programming to join our client’s team in a permanent position at Germany—an exciting opportunity to lead impactful statistical strategy in a dynamic environment.

Clin Choice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.

Key Responsibilities:

  • Work alongside with Head of Statistical Programming to implement a comprehensive strategy to maximize efficiency in statistical analysis and reporting that encompasses vendor management, technological innovation, process automation, and adherence to industry standards
  • Oversee a team of FSP programmers or vendor CROs to ensure timely, high-quality delivery of analysis datasets, tables, listings, and figures (TLFs) across multiple clinical trials
  • Align programming strategies with compound/platform objectives and regulatory requirements (e.g., CDISC standards, FDA/EMA guidelines)
  • Drive the creation, review, and validation of SAS/R programs for clinical data analysis, including SDTM/ADaM datasets, efficacy/safety outputs, and integrated summaries
  • Ensure adherence to SOPs, regulatory standards, and reproducibility
  • Partner with Biostatistics, Clinical Development, Data Management, and Regulatory Affairs to shape clinical study designs, statistical analysis plans (SAPs), and submission strategies to meet project deliverables and timelines for statistical data analysis and reporting
  • Represent programming in clinical study team and other key meetings (e.g., protocol reviews, submission readiness)
  • Lead the programming contribution to global regulatory submissions (e.g., NDAs, BLAs, MAAs), ensuring compliance with eCTD requirements
  • Manage the production of submission-ready datasets, TLFs, and documentation (e.g., define.xml, reviewers’ guides)
  • Champion the adoption of advanced analytics, automation tools (e.g., SAS macros, Python), and new technologies (e.g., AI/ML) to enhance programming efficiency
  • Develop standardized processes and mentor teams on emerging industry trends (e.g., RWE, decentralized trials)
  • Develop and establish efficient processes, innovative solutions, and standards to enhance the delivery of statistical analysis and reporting; this may include optimizing work flow and infrastructure of the statistical programming environment, and also author relevant Standard Operating Procedures (SOP) to document and communicate these processes
  • Actively participate in continuous improvement activities and processes reengineering to contribute to BioNTech’s global clinical initiatives that enhances its clinical operation, data analysis, and overall efficiency infrastructure of the statistical programming environment.

What you have to offer:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science or related discipline, advanced degree preferred
  • 15+ years (10+ years for advanced degree) experience in a pharmaceutical industry, CRO or another clinical research setting, with a focus on oncology
  • Excellent knowledge of statistical programming in SAS including Base, macro, STAT, GRAPH, SQL
  • Solid understanding of FDA, EMA, ICH, and global regulations and guidelines
  • Solid understanding of industry standards applicable to clinical study data and reporting on clinical trials, including CDISC standards
  • Solid understanding of the drug development process from early to late-stage development and submission
  • Expertise in the requirements and technology to support electronic submissions
  • Strong interpersonal skills in addition to exceptional written and oral communication skills commensurate with the need to work closely with CROs, investigators, consultants, and team members across functions
  • Strong analytical, project…
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