Overview
In this fully remote Europe-based role, you drive statistical leadership for early-phase clinical trials within Syneos Health. You mentor biostatisticians, oversee project delivery, and shape statistical strategy from protocol to CSR. You collaborate with sponsors and cross-functional teams to ensure high-quality analyses and regulatory-ready documentation. You’ll lead complex analyses, contribute to submissions, and support business development while upholding our patient-centric, results-driven culture.
Pay / Benefits
- career development and progression
- supportive line management
- technical/therapeutic area training
- peer recognition
- total rewards program
Responsibilities
- Mentor and train biostatistics personnel; oversee project work and ensure timely, high-quality output
- Direct statistical activities on assigned projects; review work of colleagues for independence and quality
- Provide cross-lifecycle statistical support from protocol through CSR; collaborate with sponsors as needed
- Prepare or oversee SAP development and create presentation-ready tables, listings, and figures
- Lead statistical aspects of protocols, randomization plans, and input to CSR as needed
- Review programming specifications for analysis datasets, TLFs, and figures; assess CRF/database documentation for data integrity
- Manage project timelines and milestones across multiple studies; escalate out-of-scope tasks and adjust schedules
- Participate in DSMB/DMC activities as independent statistician or voting member; ensure regulatory guideline compliance
- Support regulatory submissions and client proposals; contribute to bid defense meetings
- Maintain comprehensive, inspection-ready project documentation and adherence to SOPs/WIs
- Contribute to internal meetings, share ideas, and collaborate with cross-functional teams
- Provide statistical programming support and engage in data safety monitoring oversight as applicable
- Occasionally travel as required
Key requirements
- Graduate degree in biostatistics or related discipline
- Extensive experience in clinical trials and ability to lead multiple programs
- Proficiency in R programming
- Strong knowledge of statistical design, analysis, regulatory guidelines, and programming techniques
- Experience across all statistics tasks from protocol to CSR; regulatory submissions preferred
- Excellent written and verbal communication skills; English proficiency
- Ability to read/write/speak English
- Experience with SAS is advantageous
- PhD or MSc in statistics or related discipline (preferred per summary)
- Strong decision-making and timeline management skills
- Leadership and mentorship
- Strong communication and collaboration
- Attention to detail and quality focus
- R programming
- SAS
- Statistical design and analysis
…
