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

Bayer

Sep 24

Applications are closed

Job
Full-time
Mid & Senior Level
Research & Development
Monheim

Requirements

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

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

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.

Bayer

Science for a better life

Science & Healthcare

Industry

10,001+

Employees

1863

Founded Year

Mission & Purpose

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Our products and services are designed to benefit people and improve their quality of life. At the same time, we aim to create value through innovation, growth and high earning power. Our products help address some of today’s biggest challenges, including global population growth, an aging society and the need to make efficient – and, wherever possible, sustainable – use of natural resources. In line with our mission “Bayer: Science For A Better Life,” we aim to improve people’s quality of life by preventing, alleviating or curing diseases. We also help provide an adequate supply of high-quality food, feed and renewable plant-based raw materials. For these endeavors, we focus on developing and successfully commercializing innovative products and solutions based on scientific knowledge.