Principal, Statistical Programmer

Experteer Italy; Verona; Remoto; EUR 45.000 - 70.000; Tempo pieno

Descrizione del lavoro

Join a dynamic team dedicated to statistical programming for clinical projects. The role of Principal Statistical Programmer involves leading programming efforts, ensuring compliance with SOPs, and mentoring junior team members. Ideal candidates will have a strong background in SAS and at least 5 years of experience in the field.

Competenze

• At least 5 years of experience in statistical programming.
• Excellent SAS programming skills required.
• Strong understanding of clinical research principles.

Mansioni

• Lead statistical programming activities on clinical projects.
• Specify, program, and validate CDISC datasets.
• Guide and mentor programming team members.

Conoscenze

SAS programming

Analytical thinking

Communication

Formazione

Bachelor’s degree in Statistics or related field

Strumenti

Microsoft Word

Microsoft Excel

Microsoft PowerPoint

Descrizione del lavoro

Join our global team dedicated to innovation and initiative, where physical walls and different time zones don’t limit, but encourage, collaboration. All contributions and new ideas are explored with an open mind, driven by our shared values: be courageous, be accountable, be honest, be inclusive, and elevate others.

Job Description Summary

Job Description

ROLE

The Principal Statistical Programmer will support and lead statistical programming activities on client clinical projects, including complex projects; producing high-quality deliverables to agreed timelines and following relevant standard operating procedures. The principal statistical programmer will also support the effective deployment of project resources and the maintenance of an efficient statistical programming department.

KEY RESPONSIBILITIES

• Lead statistical programming activities on clinical projects, including complex projects.
• Provide support in identifying changes in project scope and potential risks to contractual delivery.
• Support statistical programming efforts on clinical projects.
• Specify, program, and validate CDISC SDTM and ADaM datasets.
• Specify, program, and validate statistical analysis results, including datasets, tables, listings, and figures.
• Produce and review CDISC documentation.
• Create and validate randomization lists.
• Ensure compliance with SOPs.
• Report deviations, KPIs, customer complaints, and manage CAPAs.
• Provide supervision on tasks carried out by statistical programmers.
• Guide and mentor programming team members on procedures and standards.
• Prepare and perform internal or external training on statistical programming techniques.
• Identify, implement, and develop new techniques, solutions, tools, and products.
• Identify areas for efficiency or process improvements.
• Lead initiatives to improve department processes.
• Communicate effectively with project teams.
• Report issues to Project Manager/Associate Director in a timely manner.
• Support Quality Assurance in audits.
• Support the maintenance of an effective statistical programming department.
• Conduct other related activities as required.

QUALIFICATIONS & EXPERIENCE

• BSc/MSc or equivalent in Statistics, Computer Science, Mathematics, or related field.
• At least 5 years of experience in statistical programming.
• Excellent SAS programming skills.
• Knowledge of R is a plus.
• Strong understanding of principles and techniques for clinical research.

TECHNICAL SKILLS & SOFT SKILLS

• Good English communication skills.
• Proficiency in Microsoft Word, Excel, and PowerPoint.
• Quality-focused and results-oriented.
• Confident team leader.
• Ability to prioritize effectively.
• Trustworthy with strong team leadership skills.
• Willingness to learn.
• Ability to explain complex concepts clearly.
• Analytical thinking and problem-solving skills.
• Innovative mindset.

Languages: English

Education: Bachelor’s degrees in Computer and Information Science, Mathematics, or Statistics.

Contract Type: Regular

Summary

• Locations: Europe-Remote; Barcelona; Verona; Milan; Bologna; London; Bordeaux; Paris
• Type: Full-time