• Job Description

  Req#: 803364

  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 eager 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.

  Computational Chemistry and ML/AI (m/f/d)

  Computational Chemistry and ML/AI - (W/M)

  Purpose:

  Our aim in Crop Protection chemistry is to unlock a new way to protect crops, food security and the environment and in doing so set a new benchmark in the industry as the need to find solutions to new and evolving challenges in global agriculture has never been so pressing.

  Our CropKey approach has 2 main parts: Target Based Discovery and Profile Driven Discovery. Both of which are made possible thanks to breakthrough innovation, the advances in the life sciences and the huge progress in data-driven technologies such as Computational target discovery, new paradigm in screening, predictive early safety and digital chemistry.

  The limited group work collaboratively across the organization to enable data- and model informed innovation and decision making within the Bayer CropScience Small Molecules (SMol) group.

  Key Working Relation:

  • Contribute significantly to the overall SMol digital transformation strategy as scientific project partners.
  • Build relationships and networks within current- and cross-functions located worldwide (FR, DE, US), by efficiently interacting with lab- and data-scientists across various organizations and key stakeholders, including senior level management.
  • Be a cooperative member of the CLS-IL strategy by ensuring that projects fit in the global CLS approach.

  Scope: Global

  Your key responsibilities:

  • Enable data- and model informed innovation and decision making in SMol phase projects, by developing and delivering timely, high-quality computational methods.
  • Contribute to drug-design activities in SMol 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.
  • Ensure data is generated, integrated, and aggregated to meet business, modeling and analytics needs.
  • Drive a continuous inflow of cutting-edge data science technologies and platforms for better decision making.
  • Clearly communicate project progress and impact to relevant stakeholders and ensure delivery on time, quality and budget.

  Your qualification & competencies:

  • PhD with 5+ years OR Master degree with 10+ years industry experience in cheminformatics, computational chemistry, computer/data science or related field.
  • Proficiency in Python and demonstrated experience with machine learning algorithms and tools (e.g., Catboost, Deep Neural Networks, RDkit) & deep learning frameworks (e.g., Keras, TensorFlow, PyTorch). Knowledge of data visualization (e.g., Spotfire), cloud computing and good practices in software development (e.g., git, module design) is desirable.
  • Proven expertise in applying machine learning and artificial intelligence techniques to computational chemistry and drug design (such as QSAR models, scaffold hopping, hit optimization, generative chemistry, multiparameter optimization).
  • Good understanding of other molecular modelling 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.
  • Strong problem-solving skills, ability to structure and simplify complex tasks, and flexibility to adapt to changing environments and ambiguous situations.
  • Demonstrated experience with global multi-disciplinary teams & learning the science.
  • Enthusiast, creative, proactive, bold and out-of-box thinking.
  • High energy, clear goal orientation and strong work ethic; and a “can do” attitude.
  • Strong organizational, interpersonal, and written and oral communications skills. English is the main work language.

  What we offer you:

  • Hybrid working style
  • Full time employment contract
  • Home-Office agreement
  • Wide range of development opportunities
  • Competitive salary
  • Attractive benefits package
  • Good working conditions and comfortable working environment
  • The compatibility of family and career is important to us. We support flexible working time models and the option of working from home.

  Complementary Information :

  • Company : Bayer, Crop Science Division,
  • Location : Lyon 09 - Site La Dargoire (France)
  • Permanent contract

  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.

  Lieu:

  France : Rhône : Lyon

  Division:

  Crop Science

  Code de référence:

  803364

• About the company

  Bayer AG is a German multinational pharmaceutical and life sciences company and one of the largest pharmaceutical companies in the world.

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