Postdoctoral Researcher in Protein Modeling and ML/AI (F/M/D)

 

Postdoctoral Researcher in Protein Modeling and ML/AI (F/M/D) 

         

Postdoctoral Researcher in Protein Modeling and ML/AI (F/M/D)

 

Bayer is a life science international company active in both human health and agriculture. Its products and services are designed to improve people’s well-being and quality of life.

 

By joining Bayer, you will be part of a company that values ​​the commitment of its employees to innovate and help change the world.

 

Purpose:

We are looking for a highly skilled and motivated Postdoctoral Researcher (F/M/D) to join our team in Lyon (France) focused on protein-ligand modeling and ML (Machine Learning) approaches for protein structure prediction. Our candidate will possess a strong background in drug-discovery and additional knowledge of AI approaches for protein modeling research.

 

The successful applicant (F/M/D) will be part of an interdisciplinary and cross-divisional team within the R&D organization and will contribute to innovative industrial applications as well as pharmaceutical and crop science pipeline projects.

 

Tasks and responsibilities: 

You will contribute to plan and develop a project aimed at identifying innovative solutions in pharmaceutical and crop science applications. To this end you will be involved in:

 

• Contribute to drug-discovery activities in pharmaceutical and crop science research by applying and developing state-of-the-art ML/AI and molecular modelling approaches.
• Challenge the status quo by formulating and testing hypotheses via in-silico models.
• Be an agile member of multiple interdisciplinary project teams (biology, chemistry, biochemistry, cloud computing), and efficiently communicate (written and orally) to different stakeholders at various levels of the organization.
• Clearly communicate project progress, impact to relevant stakeholders, and ensure delivery on time

 

Who you are?

• You have a PhD in computational chemistry, computational biophysics, cheminformatics, or related field.
• Solid understanding of molecular modeling techniques applied to drug design (e.g., structural bioinformatics, docking and virtual ligand screening, molecular dynamics, and related techniques) is required. Basic knowledge of biology and biochemistry is highly appreciated.
• Proficiency in Python and demonstrated experience with machine learning algorithms and tools (e.g., Catboost, RDkit) & deep learning frameworks (e.g., Keras, TensorFlow, PyTorch) and good practices in software development (e.g., git, module design).
• Knowledge of data visualization, experience running calculations via cloud computing and HPC (High Performance Computing) platforms is desirable.
• Proven expertise in applying machine learning and artificial intelligence techniques to computational chemistry and protein structure prediction.
• Strong problem-solving skills, ability to structure and simplify complex tasks.
• Ability to work in interdisciplinary teams with excellent interpersonal and collaborative skills.
• Solid written and oral communication in English.

 

Why work with us?

• You will develop your competences and autonomy working in a high-profile environment.
• You will be integrated in a dynamic team where you will be able to apply your expertise and grow your competencies in a friendly and supportive environment.
• We provide an attractive compensation and benefits (health insurance, 13th month, company-sponsored cultural and sportive activities)
• We support flexible working time models and the option of partially working from home.
• We offer a competitive salary and comfortable working environment.

 

Complementary information:

Location: Centre de Recherche La Dargoire, Lyon (France)

Team: Computational Life Science

Fixed-term contract for 2 years

Apply now!
Are you ready to join our team? So, follow this link and apply here: www.career.bayer.fr

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