Data Scientist for Probabilistic Modelling and Phenotyping (all genders) Job Details | Bayer AG

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.

Data Scientist for Probabilistic Modelling and Phenotyping (all genders)

YOUR TASKS AND RESPONSIBILITIES

• You will push the boundaries of state-of-the-art Machine Learning approaches in Plant Phenotyping research, focusing on uncertainty estimation for Active and Continual Learning.
• You will design, develop, and implement Active Learning strategies for an optimized screening process.
• You will act as a bridging partner between our Crop Science and Pharmaceuticals Divisions as part of a Life Science Collaboration.
• You will collaborate closely with experimental units to translate data into tangible project impact.
• You will drive continuous improvements in methodologies and processes through your expertise and experience, and by partnering with Bayer’s scientists across organizational units.

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. 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 (Computational) Chemistry, Computer Science, Mathematics, Statistics, Physics, or related fields.
• You have a strong background in Statistics, Probabilistic Modelling, or Active Learning.
• You have experience developing and applying machine learning approaches, including deep learning.
• You are highly motivated and curious to learn experimental processes, novel mathematical approaches, and Life Science R&D at an industrial scale.
• You have strong analytical thinking and a scientific mindset, and you are ready to challenge the status quo.
• You have demonstrated the ability to collaborate in interdisciplinary teams with excellent interpersonal and communication skills.
• You have very good expertise in Python.
• Fluency in both written and spoken German and English rounds 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 and our annual bonus. In addition, managers can recognize special contributions by granting an individual 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 self-care 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.

This is a fixed-term position for the duration of 24 months.

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: Frankfurt

Division: Crop Science

Reference Code: 828925