TASKS AND RESPONSIBILITIES

• Establish capabilities to strengthen data sciences and bioinformatics

• Design and implement concepts to support cross-functional R&D information gathering, and modeling as well as simulation

• Interact with scientists in research, preclinical, experimental medicine and clinical development to derive and implement user-centric IT based solutions

• Interact with and participate in external scientific cooperation(s) in translational R&D (panels/consortia)

• Drive holistic data integration for R&D and improve seamless information flow between data repositories

• Contribute to and further refine the IT vision for translational R&D

• Consult and governance with regard to the design of analytics capabilities for research, preclinical and clinical development

• Consulting regarding the identification, evaluation and implementation of IT solutions for R&D that fit to the defined and given architectural framework

• Identification, evaluation, selection and implementation of innovative IT solutions

• Substantially contribute to selected critical projects to steer them towards the key objectives e.g. by steering individual work packages

• Proactive risks and issue identification and management

• Adhere to global project management best practices and standards

• Ensure compliance with laws, regulations and directives

• Support Computational Life Science teams by providing diverse informatics analytics capabilities to support drug project decision making

REQUIREMENTS

• PhD, advanced university degree or business equivalent, preferably in natural or computational sciences, bioinformatics

• Knowledge of drug discovery and drug development processes in the healthcare industry

• Good understanding of predictive analytics, modelings and simulations and insight generation from data, e.g. text mining and machine learning

• Experience in data- and knowledge management, especially in data annotation and ontologies

• Experience with complex and multidimensional data analysis and integration (e.g. NGS)

• Several years of experience in leading interdisciplinary teams

• Proven ability and fun to work in competitive, fast changing and multicultural environments

• Strong analytical thinking and conceptual skills to define goal-oriented approaches

• Being self-reliant and able to work both, independent and collaborative

• Strong international project management skills

• Ability to challenge the status quo and to embrace change

• Business fluent in English, both verbal and written