Your responsibilities will include

• Conduct data analyses including non-compartmental analyses, modelling & simulation
• Statistical programming with SAS or R, development of reusable programs (e.g. macros), data processing, data visualization, and output generation
• Specification and creation of analysis datasets
• Validation of datasets and outputs
• Support non-clinical / clinical development in all phases
• Develop PK part of trial protocols and statistical analysis plans

Your profile

• University degree in data science, pharmacology, mathematics, computer science, or equivalent education with a good knowledge in statistics
• Knowledge of PK principles and popPK analysis
• Experience with Phoenix WinNonlin, NONMEM is an advantage
• At least two years of experience in SAS programming and clinical research
• Excellent working knowledge of clinical trial documents (CSP, SAP, CTR)
• Very good knowledge of clinical data
• General understanding of global regulatory guidance on pharmacometrics analyses and reporting
• Knowledge of CDISC standards is a plus
• Experience in R programming is an advantage
• Strong analytical and quick-learning skills
• Precise and accurate way of working
• Team player and a high degree of initiative
• Good English skills, German is a plus

What we offer you

We value communication, flat hierarchies, open corporate culture, and a harmonious work environment. We offer comprehensive individual development opportunities, continuous trainings, and flexible working hours. A modern and bright office with a subsidised canteen, as well as the opportunity to work 2 days per week from home are part of our everyday working life. Full remote work from anywhere in Germany for those who do not live in Munich can be discussed. You will join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds.

Question?

If you have any questions, please feel free to contact us by e-mail application@staburo.de.