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Machine Learning Research Scientists
vor 2 Wochen
**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 Scientists - Computational Biology (M/F/d)**
**YOUR TASKS AND RESPONSIBILITIES**
- Be an active member of a highly interdisciplinary and cross-organizational team
- Process, integrate and interrogate public and internal high-dimensional data arising from genomics, transcriptomics (bulk, single-cell, spatial), proteomics, morphological profiling and others
- Stay current with the fast-paced innovation in machine learning applied to biomedical data
- Join forces with other machine learning teams to bring together focused expertise into integrative projects involving different modalities like small molecules, biomolecules, or medical images
- Deploy efficiently machine learning models to the cloud and the desktop and help productionizing the developed solutions into our discovery pipelines
- Collaborate closely with data scientists, bioinformaticians, biologists, and chemists in order to choose the most appropriate solutions for each problem
- Propose and develop new ideas, conceive and execute sound experiments, critically interpret the results, and effectively present them in various committees
- Strengthen our external visibility and scientific excellence through publishing, open sourcing code, and engaging with the scientific community
**WHO YOU ARE**
- PhD degree (or M.Sc with several years of working experience) in computer sciences, computational biology, bioinformatics, physics or related fields
- Profound experience with state-of-the-art machine learning methods, deep learning, and model selection concepts
- Excellent programming skills in Python are essential; experience using a Linux high performance computing environment and building efficient and reusable software
- Expertise in at least one of the following: genomics, transcriptomics, proteomics, cellular imaging, single-cell, spatial, or multi-omics data
- Publication record and/or contribution to software tools
- Highly creative person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks
- Fluent English language skills both in written and spoken
**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**:791214
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