Director, Statistical Programming

• Partner with Head of Statistical Programming to define and execute a comprehensive programming strategy, including vendor oversight, process automation, and adherence to industry standards.
• Lead and oversee a team of internal/FSP programmers and CROs to ensure timely, high-quality delivery of analysis datasets, tables, listings, and figures (TLFs).
• Drive the creation, review, and validation of SAS/R programs for SDTM/ADaM datasets, efficacy/safety outputs, and integrated summaries, ensuring reproducibility and compliance with SOPs and regulatory standards.
• Collaborate with Biostatistics, Clinical Development, Data Management, and Regulatory Affairs to influence study designs, statistical analysis plans, and submission strategies.
• Lead the programming contribution to global regulatory submissions (NDA, BLA, MAA), including submission ready datasets, TLFs, define.xml, and reviews’ guide.
• Champion adoption of advanced analytics, automation, and emerging technologies (e.g., R, Python, AI/ML) to optimize workflows and mentor teams on industry innovations.
• Establish and maintain robust programming processes, infrastructure, and SOPs to enhance efficiency and standardization across studies and submissions.
• Contribute to continuous improvement and global clinical initiatives to strengthen BioNTech’s clinical operation and data analysis capabilities.

Qualifications:

Education

• Bachelor’s degree in Statistics, Mathematics, Computer Science or related discipline, advanced degree preferred

Experience

• 15+ years (10+ years for advanced degree) experience in a pharmaceutical industry, CRO or another clinical research setting, with a focus on oncology.
• Expert knowledge of statistical programming in SAS (Base, Macro, STAT, GRAPH, SQL).
• Solid understanding of FDA, EMA, ICH, and global regulations and guidelines.
• Deep knowledge of clinical study data standards and reporting requirements, including CDISC (SDTM and ADaM).
• Thorough understanding of the drug development process across early- to late-stage development and submission.
• Demonstrated expertise in supporting electronic submissions (eCDT, define.xml, reviewer’s guides).
• Proven project management skills with the ability to oversee multiple concurrent projects and global vendors.

Expected Pay Range: $220,000/year to $265,000/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). *Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.

Your Benefits:

BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate’s qualifications and experience.

Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.

How to apply:

Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.

Please note:

Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider ‘HireRight’. You will be informed accordingly by your BioNTech-Recruiter.

We are looking forward receiving your application.