FAQs
What is the job title for this position?
The job title is Data Scientist for Active Learning and Small Molecules Design.
What are the main responsibilities of this role?
Main responsibilities include designing and implementing Active Learning and Bayesian optimization for small molecules, developing novel active learning methods, testing generative models, integrating these models into a scalable platform, and collaborating with domain scientists.
What qualifications are required for this position?
A PhD in Computational Chemistry, Computer Science, Mathematics, Physics, Statistics, Applied Mathematics, Bioinformatics, or related fields is required.
Is experience with Machine Learning necessary for this position?
Yes, prior experience in developing and applying Machine Learning approaches, particularly in chemistry applications, is essential.
What programming skills are required?
Excellent Python programming skills are required, along with an interest in developing Python package and Machine Learning skills.
What kind of work environment does Bayer offer?
Bayer promotes an inclusive work environment that supports diversity and encourages employees to bring their whole selves to work.
How long is the duration of this position?
This is a fixed-term position for the duration of 24 months.
Is communication a part of this role?
Yes, excellent communication and collaboration skills are important for working effectively in a cross-functional, interdisciplinary team.
What professional development opportunities does Bayer provide?
Bayer offers access to training programs through the Bayer Learning Academy, coaching and mentoring programs, and development dialogues to support professional growth.
What benefits does Bayer offer in terms of work-life balance?
Bayer offers flexible work models, part-time arrangements, family support services, and initiatives such as daycare centers and summer camps for children.
Where is this position located?
The position is located in Frankfurt.