Principal Statistician - Research

Principal Statistician (Research)

Permanent Role - Germany

Umbilical Life are shortlisting to source a Principal level Statistician for one of our key clients based in Germany. This Pharmaceutical requires an expert who will lead the methodological and Statistical aspects in Research in a small specialised team. The role is highly collaborative and advice led and would suit a highly innovative Statistician.

Accountable For:

• Address scientific issues within drug discovery using existing and new innovative statistical methods through collaborating closely with internal and external partners.
• Designing experiments to address scientific questions clearly and accurately.
• Deliver statistical methodology training.
• Communicating statistical concepts, design recommendations, and the results of statistical analyses clearly and accurately to others.
• Validate the statistical aspects of Specific Pharmacology Reports written by scientists for the Dossier for all programs.
• Lead statistician on multiple complex projects regarding Non-Clinical Efficacy and Safety (NCES) related Research activities with minimal direction from group head.
• Working with other statisticians on internal department initiatives, e.g. to develop specific technical or consulting skills, new processes, etc.
• Reviewing literature and writing simulations to evaluate statistical methods for application to drug discovery problems.
• Representing our statistics team in collaborations with other internal statistics teams and scientists.
• Contribute to the implementation of end-user statistical applications for routine analyses within labs.
• Represents statistics in regulatory meetings
• Represent statistics in cross function working groups.

Qualifications/ Requirements:

• Master’s degree or PhD in Biostatistics or related field.
• Experience with developing new statistical methods to improve the design, analysis, and interpretation of scientific studies.
• Ability to collaborate well with statisticians and scientists from other disciplines.
• Strong user of SAS/R (R-Shiny).
• Explain novel and standard statistical methods clearly to scientific and non-scientific colleagues.
• To evaluate, recommend, and implement statistical tools for addressing scientific problems. 
• Experience in Pre-Clinical & Research Development.
• Experience with some of the following techniques; Bayesian Statistics, Mixed Models, Machine Learning Algorithms, Experimental Design, Analysis of high-dimensional Data, Linear and non-Linear Regression.

For a confidential discussion please contact Jonathan Cunliffe at Umbilical on +49 3221 421 9777