Data Scientist for Active Learning and Small Molecules Design (all genders)

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 Active Learning and Small Molecules Design (all genders) 

YOUR TASKS AND RESPONSIBILITIES

• You will design, develop, and implement Active Learning and Bayesian optimization to improve efficacy and bioavailability-relevant properties of small molecules
• You will research, develop, and evaluate novel active learning methods for molecular design, such as conformal predictors, Bayesian models, query-by-committee, expected model change, uncertainty sampling, concept learning, etc.
• You will implement and test synthesis-aware generative models that can generate realistic and novel active ingredient candidates
• You will integrate and deploy the active learning and synthesis-aware generative models into a scalable and robust platform that can support multiple projects and workflows
• You will communicate and coordinate with domain scientists to understand their requirements, provide feedback, and deliver results
• You will act as a bridging partner between our Crop Science and Pharmaceuticals Divisions as part of a Life Science Collaboration
• You will drive continuous improvements in methodologies and processes through your expertise and experience, as well as 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, Physics, Statistics, Applied Mathematics, Bioinformatics, or related fields
• You have prior experience with uncertainty estimation and Active Learning (Conformal predictors, Bayesian models such as Gaussian Processes, etc.)
• You are experienced in developing and applying Machine Learning approaches with a focus on chemistry applications
• You have excellent communication and collaboration skills, and the ability to work effectively in a cross-functional and interdisciplinary team
• You are passionate about solving challenging problems and contributing to the advancement of science and chemistry
• You have excellent Python programming skills and are interested in building your Python package development and Machine Learning skills
• Fluency in both written and spoken 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 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.

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:  828924​