Senior PK Analyst (SAS / R Programming)

Key Accountabilities:

• Derivation of Pharmacokinetic (PK), and Pharmacodynamic (PD) parameters.
• Programming and validation of NONMEM datasets and PK/PD derived datasets.
• Programming and validation of tables, listings, figures and statistical appendices if applicable.
• Execute activities according to the agreed processes (SOPs) and timelines while maintaining good quality.
• Ensures that the deliveries match the agreed specifications and expectations.
• Apply good programming practices.
• Provides support to other analysts.
• Provides training and guidance and act as a mentor to less experienced analysts.
• Works according to International Conference on Harmonization and Good Clinical Practice standards.
• Maintain a positive, results orientated work environment, building partnerships and promoting teamwork.

Skills:

• Good programming skills (main focus on SAS or R programming).
• Leadership and mentoring skills.
• Familiar with Windows environment and working with Windows applications (MS Word, Excel, Power point, Outlook and Internet Explorer). Unix knowledge is advantageous.
• Professional attitude, Self-motivated, Logical thinking, Attention to detail, Internal/External liaison.
• Able to work independently, First time quality.
• Excellent interpersonal, verbal and written communication skills.
• Client focused approach to work ethic.
• A flexible attitude with respect to work assignments and new learning.
• Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail.
• Willingness to work in a matrix environment and to value the importance of teamwork.
• Ability to work well under pressure and to keep scheduled timelines.
• Good verbal, written and presentation skills.
• Ability to interact with line and middle management on a functional level.
• Good standard of written and spoken English

Knowledge and Experience:

• 3-6 years relevant experience
• Knowledge of SAS (SAS/BASE, SAS/STAT, and SAS/GRAPH)
• Phoenix WinNonlin

Education:

• A 3-year degree or equivalent in a programming discipline is preferable. Post graduate qualification is advantageous OR a 3-year degree or equivalent in a statistics discipline is preferable. Post graduate qualification is advantageous