[Hiring] Sr-Principal Statistical Programmer @Syneos Health

Role Description

This role involves statistical programming and leadership within clinical development.

• Hiring in the following locations: Armenia, Italy, Netherlands, Poland, Greece, Hungary, Romania, Serbia, UK, and South Africa.
• Open to Sr or Principal title.
• Use SAS, or other software, to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications.
• Provide technical expertise and leadership in the development of statistical programs.
• Collaborate with statisticians and other stakeholders to understand and address their programming needs.
• Acts as the lead statistical programmer, directing the programming activities of other programming personnel and monitoring progress on programming deliverables.
• Ensure the accuracy and integrity of data and statistical outputs.
• Troubleshoot and resolve programming issues and challenges.
• Mentor and train junior programmers and other team members.
• Contribute to the continuous improvement of programming processes and tools.
• Design and implement efficient programming solutions to meet project requirements.
• Conduct code reviews and provide constructive feedback to ensure high-quality programming deliverables.
• Stay updated with the latest advancements in statistical programming and incorporate relevant techniques into practice.

Qualifications

• Advanced degree in Statistics, Computer Science, or a related field.
• Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting.
• Proficiency in programming languages such as SAS (mandatory), R (optional).
• Strong understanding of statistical methods and data analysis techniques.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Requirements

• Expertise in statistical programming and data analysis.
• Proficiency in programming languages such as SAS (mandatory), R (optional).
• Strong understanding of data analysis techniques.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Benefits

• Passionate about developing our people through career development and progression.
• Supportive and engaged line management.
• Technical and therapeutic area training.
• Peer recognition and total rewards program.
• Commitment to a Total Self culture where you can authentically be yourself.
• Focus on diversity of thoughts, backgrounds, cultures, and perspectives.