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 Learner Multi-Omics and Imaging (all genders) 

You will use state-of-the-art data science methods and work in close collaboration with biologists and biochemists to find and elucidate new innovative targets and mode of actions. You will contribute to generate a better understanding of the effects of our compounds to match the complex regulatory and customer needs. 
You will be part of a diverse team of data scientist striving for the digital transformation of Small Molecules.

YOUR TASKS AND RESPONSIBILITIES
 

• Using and developing advanced mathematical models (e.g. machine learning), bioinformatics, and image-analysis skills, you will deliver and elucidate new starting points to advance chemical design
• Formulating clear, testable hypotheses and relevant experimental planning in imaging and biochemistry, you enhance understanding of bioactive molecules and guide towards safe and active compounds
• You will develop and apply bioinformatics and machine learning methods for the integration and modeling of multimodal and imaging data, as well as consult and assemble large, complex datasets for analysis
• Leading strategic and scientific initiatives within the Data Science Community, you will be at the forefront of innovation
• You function as a subject matter expert and Data Science ambassador, driving and fostering internal and external collaborations
• Establishing a trusting relationship with colleagues in biology and biochemistry, you advance the search for new molecules and the biological, biochemical understanding of our targets
• You are an integral member of project teams, driving new product development together with all team members - good collaboration and communication are essential
• You are part of an international & interdisciplinary research team, closely interacting with your colleagues from the entire Bayer R&D organization

WHO YOU ARE

We are excited about your talent and passion for this position. Attracting the right talent is important to us. We would be happy to work with you to identify and create the career and development opportunities you are looking for - also in part time. And if you don't meet all the requirements, we still look forward to receiving your application. We are all constantly learning!
 

• You hold a PhD in bioinformatics, computational biology, or biology, computer science, physics, or related fields, or possess related professional experience; a background in biology is a plus
• You have a proven track record of successfully applying data analysis techniques and proficiency in chemogenomics (e.g., transcriptome data, regulatory genomics, image analysis)
• Your strong experience with the development and application of machine learning approaches, programming, data mining, implementing new computational methods, and workflow automation is evident
• You possess solid programming skills (Python and/or R) and are acquainted with Unix/Linux
• Your profound knowledge of the latest data science methods required for the identification and optimization of targets and molecules is essential
• Your ability to drive cross-functional science in interdisciplinary teams is valued
• Your high social competence and effective communication skills enable you to closely collaborate across functions
• Excellent English skills, both written and spoken, are a significant asset round off your profile

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us! 

• We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay, our performance based company bonus and a global, equity-based cash plan with a four-year duration. In addition, managers can recognize special contributions by granting an individual performance award or top performance award
• Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you
• Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more
• We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs
• We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor and our health platform #machfit
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work
   

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.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

Location:           ​​ ​   Monheim​

​​Division: ​               Crop Science​

Reference Code:  816838​