Principal Data Scientist

vor 2 Wochen

Berlin, 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.**

**Principal Data Scientist (M/F/d)**

For our global team we are looking for a Principal Data Scientist to strengthen the Digital Transformation & IT - Pharma organization.

**YOUR TASKS AND RESPONSIBILITIES**
- Lead initiatives in Natural Language Processing (NLP), being a technical reference for the team and the organization
- Steer the ideation and development of innovative AI and data solutions as part of digital products that solve business problems in the areas of Medical Affairs, Pharmacovigilance and Research & Development, establishing strong links with stakeholders in the business, understanding their pain points, and helping shape and execute the digital agenda strategy
- Design and implement complex NLP algorithms to extract value from large amounts of unlabeled text data (clinical notes, regulatory documents, medical literature), building and taking responsibility for end-to-end products from the notebook to production-ready code
- Research and develop survival models using data from clinical trials, electronic health records and other real world data sources, to understand health risks and enable innovative communication and decision-support products in clinical practice
- Drive collaboration among data scientists, machine learning engineers, a** **large IT organization and business domain experts in multidisciplinary projects using agile methodologies
- Publish innovative methodologies and scientific discoveries in peer reviewed journals
- Search and explore external opportunities with academia, start-ups and established solution vendors

**WHO YOU ARE**
- PhD in machine learning, statistics, applied mathematics, computer science or related fields with a strong knowledge of machine learning
- Several years industry experience (preferably pharma) or very strong academic records leading the delivery of groundbreaking machine learning projects
- A team-player that loves to collaborate, influence, and learn from a diverse group of people, and enjoys working with a culture of respect and support to others
- Expert level knowledge in machine learning with a strong focus in NLP and/or health risk models, in particular using large language models and fine-tuning them for downstream tasks
- Very good coding skills in Python and sizeable experience with building, deploying and maintaining ETL and ML pipelines using cloud services (AWS, Azure etc.)
- Excellent in explaining difficult concepts in simple terms, adapting the level of complexity to the audience. You have a strong track of success presenting solutions to the business
- You are somebody passionate about using statistical and mathematical tools to make the world a better and more efficient place. You are interested in joining a motivated and energetic team of data scientists working across topics from the automated extraction of insights in regulatory documents to risk models for oncology patients
- Fluent in English both written and spoken

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**: Berlin

**Division**: Enabling Functions

**Reference Code**:783461

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