Machine Learning Research Scientist Explainable Ai

vor 12 Stunden

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.**

**Machine Learning Research Scientist Explainable AI in Oncology and Drug Discovery (f/m/d)**

Meeting some of the most pressing healthcare and sustainability needs of our time, at Bayer we are leveraging the most advanced technologies to improve and save patient lives. The talented, young and international Machine Learning Research group in Berlin is seeking passionate research scientists (f/m/d) to join our team. Together we will develop innovative explainable machine learning methods to support drug discovery and clinical decisions in important oncology research questions.

**YOUR TASKS AND RESPONSIBILITIES**
- Be an active member of a highly interdisciplinary machine learning team
- Develop and implement multi-modal predictive AI models for outcome of treatments and risk prediction in cancer patients from a variety of data sources
- Develop and implement explainable AI techniques for biomarker discovery, model evaluation, and regulatory purposes, avoiding “black box” solutions and increasing the acceptance of the models by clinicians
- Validate and help to improve a secure federated deep-learning platform for models in drug discovery research and treatment outcomes
- Represent Bayer in a large cross-industry and academic consortium pooling AI-grade clinical data within a well-funded European project
- Strengthen external visibility and scientific excellence through contribution to open source projects, publishing and engaging with the scientific community

**WHO YOU ARE**
- A highly scientific and technical profile with a PhD degree or an equivalent MSc degree with several years of working experience, and a sincere interest for computational life sciences
- Hands-on experience with relevant machine learning methodologies such as convolutional neural networks, graph neural networks and transformers would be of advantage. Experience with text or image analysis solutions would be a big plus
- Exposure to model explainability concepts. Practical implementations of such concepts in any field would be of advantage
- Excellent programming skills in python and its scientific ecosystem
- Highly creative person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks in a timely fashion
- Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams
- Willingness to travel occasionally
- Fluency in English both written and spoken

**FURTHER INFORMATION**

**This position is limited until 09/2026.**

**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**: Pharmaceuticals

**Reference Code**:706703

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