Chemoinformatics Data Scientist

vor 1 Woche

Frankfurt am Main, Deutschland Bayer Vollzeit

**At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.**

**Chemoinformatics Data Scientist**

**YOUR TASKS AND RESPONSIBILITIES**
- Drive incorporation of data science in Bayer Crop Science R&D so that it becomes a core scientific discipline and part of scientists’ daily practice
- Enable data
- and model informed innovation and decision making in Small Molecules (SMol) phase projects, by developing and delivering timely, high-quality computational solutions
- Drive the aspiration for digital fluency and data savvy across the SMol organization, foster a digital mindset across Indications
- Collaborate with chemists, biologists, and biochemists to develop models and pipelines to analyze complex biological and chemical data
- Create generative and predictive models to enable better and faster decision making and lead, design and drive global SMol Data Science and IT Systems
- Work closely with data engineers to put the cutting-edge models and tools you design and develop into production and teach bench scientists to use these tools and drive their adoption
- Identify and evaluate emerging technologies and trends in data science

**WHO YOU ARE**
- PhD in Computational Chemistry, Chemoinformatics, Molecular Modelling or a related field and several years of industry experience in chemoinformatics & data science
- Proficiency in Python and demonstrated experience with chemoinformatics libraries, (e.g. RDKit) and machine learning algorithms and frameworks (e.g. Scikit-Learn, CatBoost, PyTorch)
- Demonstrated project leadership experience in Smalll Molecules Drug Design
- Highly self-motivated, strives for scientific excellence and able to manage complexity and to work in an agile manner
- Strong analytical and scientific thinking skills and willing to challenge the status-quo and open to learn experimental set-ups
- Highly developed soft skills and potential for leadership
- Fluent in English, written and verbal

LI-DE

**YOUR APPLICATION**

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

**Location**: Frankfurt

**Division**: Crop Science

**Reference Code**:807197

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