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Associate Director

vor 2 Wochen

Munich, Deutschland BI Pharma GmbH&Co.KG Vollzeit

**THE POSITION**:
***Tasks & responsibilities**:
- You will guide and develop the Data & Digital Sciences Team towards a collaborative team enabling and performing high-quality data science analyses covering a broad spectrum of source data from individual datapoints ranging from mass spectrometry data to videos.-
- In addition, your team will publish results in applied AI / ML, in peer-reviewed journals and major AI / ML conferences.- Thanks to your expertise, you will identify and develop talents, enable transparent communication and knowledge sharing as well as cooperation with all groups in DDS and across Drug Discovery Research.- You will consult the DDS leadership team and all corresponding groups on data science and digitalization. Moreover, you will facilitate collaboration with other functions, stakeholders, internal and external partners (e.g., the Digital Innovation Unit, IT Groups, Translational Medicine & Clinical Pharmacology, and MedChem).- Furthermore, you will continuously develop the digitalization strategy, including the integration of cutting-edge AI and machine learning technologies.- To complement your new role, you will shape the digital vision of the DDS department, supervise, and guide digital initiatives and IT Projects and finally steer the digitalization and data science portfolio.**Requirements**:

- PhD in Computer Sciences, Physics, Mathematics, or comparable
- Senior professional with in-depth scientific knowledge and long-term experience in data science methodologies and analyses applied to challenges of drug discovery
- Demonstrated track record of successfully building projects with AI / ML / mathematical modelling applied to tasks in drug discovery or life science, e.g., shown by publications in high-ranking peer reviewed journals and / or AI / ML conferences
- Expertise in relevant tools and libraries for AI / ML in a professional setting, such as the Python ecosystem (including scikit-learn, PyTorch / Tensorflow) in an HPC environment
- Extensive knowledge of machine learning from a fundamental and use-case perspective
- Experience in building end-to-end data science processes, ideally in an industry setting and with diverse data types
- Track record in project management, conceptually driving the development and implementation of innovative approaches in data science or data analytics
- Strong team player with a commitment to share knowledge through mentoring and team development
- Excellent communication skills and dedicated and experience in leading people

***READY TO CONTACT US?**:
Please contact our Recruiting EMEA Team, Tel: +49 (0) 6132 77-173173.

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