Senior PK Analyst – R Programmer

• Provide technical support and expert advice to internal and external stakeholders, including sponsors and the Clinical Pharmacology, Modelling & Simulation team
• Derive pharmacokinetic and pharmacodynamic parameters
• Program and validate NONMEM datasets and PK/PD-derived datasets
• Program and validate tables, listings, figures, and statistical appendices where applicable
• Execute activities according to agreed SOPs and timelines while maintaining quality
• Ensure deliverables match agreed specifications and expectations
• Apply good programming practices in accordance with ICH and GCP standards
• Participate in and/or lead process and quality improvement initiatives
• Serve as process or system owner for development, implementation, and maintenance of processes or systems with stakeholder functions
• Work independently on clinical development projects of varying complexity
• Support other analysts through programming assistance, query resolution, mentoring, and training

• 4–6 years of programming experience using SAS and R
• Expert knowledge of SAS (SAS/BASE, SAS/STAT, and SAS/GRAPH) and R
• Advanced skills in Microsoft applications
• Experience with Phoenix WinNonlin desirable
• Knowledge of pharmacokinetic data desirable
• Understanding of regulatory requirements concerning industry technical standards
• Unix and/or Linux knowledge advantageous
• Ability to learn new systems and function in an evolving technical environment
• Professional attitude, self-motivated, logical thinking
• Excellent attention to detail
• Excellent interpersonal, verbal, and written communication skills
• Strong project management skills
• Client-focused approach to work ethic
• Ability to manage multiple and varied tasks, prioritize workload independently, and adapt to change
• Good standard of written and spoken English
• Ability to negotiate and influence to achieve results
• Ability to resolve complex issues creatively and effectively
• Ability to work well under pressure and meet scheduled timelines
• Ability to work with line and middle management on a functional level
• Bachelor's degree or equivalent in programming, statistics, or mathematics is preferable
• Postgraduate qualification advantageous

• Remote work arrangement
• Full-time employment