Postdoctoral Scientist in Molecular Modelling/Structural Bioinformatics and Machine Learning (f/m/d)

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 !

Postdoctoral Scientist in Molecular Modelling/Structural Bioinformatics and Machine Learning (f/m/d)

Bayer is a global enterprise with core competencies in the Life Science Fields of Health care and Agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you can be part of a culture where we value passion of our employees to innovate and give them the power to change. Altogether we strive for the implementation of novel technologies to identify innovative and sustainable solutions.

The agricultural landscape is changing rapidly due to increased pressure of climate change and a growing population. In addition ever-present threads such as pests & diseases account for up to 40% of world´s annual crop loss and threaten the stability of the world's food supply. At Bayer we believe that there is a need for innovation and discovery of novel modes of action (MoAs) for sustainable crop protection to fulfil our mission “Health for all hunger for none”. This project focuses on the implementation of computational tools to boost the discovery of new MOAs by exploiting the new wave of 3D methods and data generated after the seminal publication of AlphaFold2.

The successful candidate will be part of a cross functional working group together with experts in Biochemistry Genomics and Data Science.

Your Tasks & Responsibilities :

• Collaborate with a multidisciplinary team to apply state-of-the-art data analysis machine learning and artificial intelligence techniques to:
  • Improve the quality and completeness of protein structures predictions
  • Predict protein functions

• Develop new innovative methods for the characterization and identification of new protein targets

• Contribute to the implementation of a cross-divisional platform to accelerate the identification of new mode of actions

• Interact and collaborate with members of others international Bayer entities as much as with wet-lab colleagues in conceiving and evaluating experiments and in interpreting experimental results

• Present results and project advancements in various committee

Who you are  ? :

• PhD in structural bioinformatics biophysics computer sciences computational chemistry or related fields and sincere interest for life sciences.
• Experience with state-of-the-art machine-learning and artificial intelligence methods preferably applied to protein structure or protein function prediction.
• Solid understanding of protein evolution and its implication at protein sequence and structural level is a prerequisite.
• Experience in working with structural data produced by X-ray crystallography Cryo-EM and NMR data is preferred.
• Excellent programming skills in Python is preferred.
• Knowledge of physics-based methods such as molecular dynamics and free energy perturbations would be of advantage
• Willingness to work in a multidisciplinary environment and to closely collaborate with biologists biochemists and chemists
• Creative thinker with strong problem-solving skills and ability to independently devise and develop innovative solutions in a challenging stimulating environment
• Excellent interpersonal skills written and verbal communication and fluency in written and spoken English. Basic knowledge of German and/or French would be of advantage

Additional Information :

The position is a fixed-term contract (Postdoctoral) for 12 months in Lyon

Starting Date : January 1 2023 if possible

Main location : Bayer Crop Science Lyon Centre De Recherche de la Dargoire Impasse Pierre Baizet 69009 Lyon France

Home office agreement 100 days / years

Application :

Ready for this challenge! Connect to our job board www.carriere.bayer.fr  and apply online !

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