BACKGROUND

TASKS & RESPONSIBILITIES

• As Senior Scientist you are fully responsible for driving portfolio innovation and success, maintaining a high-performance culture and thus ensuring a seamless, intradepartmental communication and collaboration.
• You are working across all Therapeutic Areas and Computational Biology teams while ensuring that IT collaboration is always up to speed with the current need and technologies.
• Ensuring a smooth collaboration with experimental, clinical and bioinformatics scientists is what you are responsible for to support the design of studies for target and biomarker discovery.
• Together with other team members you are accountable for the evaluation and development of cutting-edge techniques in the area of human genetics.
• You develop novel methods for genetic association test to targets. In addition, you are responsible for the integration of data such as GWAS summary statistics with eQTLs, transcriptomics, epigenetics and gene networks.
• The establishment of analytical methods and the development of machine learning applications on novel data types is also part of your role.

REQUIREMENTS

• PhD in Statistical Genetics, Computer Science, statistics or related fields. Post Doc experience, preferably in an international industry setting, would be of advantage
• Expert knowledge in Human Genetics, as well as advanced data analytics skills paired with experience in Biobanks and huge data integration efforts. Expertise in statistical analytics and machine learning in Genetics is required
• Professional experience in drug discovery and pipeline driven environments is a plus
• Established international network from previous experience with links to academia
• Strong communication and interpersonal skills with the ability to present and explain findings to people not familiar with specific topics
• Team player with the urge of getting teams to work together

COMPENSATION

HOW TO APPLY