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Date: Mon Jan 27 15:48:55 2020
Subject: 20.01.27 Cheminformatics Scientist (209420W-01), Corteva Agroscience, Indianapolis, IN

Cheminformatics Scientist (209420W-01), Corteva Agroscience, Indianapolis, IN

Here at Corteva Agriscience, we are growing what matters by powering innovation in agriscience and enriching lives across the globe. We are recruiting for a Cheminformatics Scientist to join our growing Predictive Safety Center in Indianapolis, Indiana. In this role, you will be responsible for developing novel predictive computational chemistry/cheminformatics tools and applying them (along with existing tools) to assess the safety profile of discovery-phase new active ingredients and agricultural products.

Primary Responsibilities:
How will you help us grow? It matters to us, and it matters to you.
The successful candidate will serve as a Cheminformatics Scientist in our Predictive Safety Center within Crop Protection Regulatory Sciences with responsibilities in the designing and screening of new active ingredients and products in the discovery phase; this includes:

  • Developing and applying of various models (QSAR, pharmacophore, etc.) to predict hazard and exposure endpoints and direct testing strategy for safety assessment of discovery molecules;
  • Applying modern computational methods to develop QSAR relationships and predictive ADMET technologies for multi-parameter optimization of discovery-phase molecules;
  • Evaluating and validating external software and models for the application within the agrochemical sector;
  • Designing and developing in silico methods for safety assessment of discovery molecules using existing internal and external datasets;
  • Creating methodologies to integrate large data sets to investigate linkages between toxicological and ecotoxicological adverse effects and chemical structure and sub-sturcutre;
  • Developing a relational context between likely moieties and chemical structure and sub-structures).
  • Collaborating with internal computational chemists and data scientists, academia, government, and industrial partners to explore and implement new in silico capabilities;
  • Developing and managing a variety of cheminformatics databases related to the needs of human health and environmental safety assessment;
  • Partnering with and guiding scientists in the use of predictive computational and cheminformatics tools for analog screening.


  • PhD in computational chemistry, cheminformatics, or related discipline with 3+ years of post-doctoral and/or industrial experience in QSAR modeling and Read-Across;
  • Advanced knowledge of cheminformatics principles, computational chemistry, and their application to agricultural or pharmaceutical discovery projects;
  • Experience with Pipeline Pilot and/or KNIME in cheminformatics and QSAR;
  • Experience in cheminformatics database management;
  • Proficiency in small molecule ligand discovery and cheminformatics techniques including molecular modeling, docking, pharmacophore modeling, QSAR, clustering, fingerprint & shape-based database search, and virtual screening;
  • Strong hands-on experience with molecular modeling suites such as MOE, Discovery Studio, ADMET Predictor and Schrodinger;
  • Working knowledge of modern techniques and approaches in statistical modeling, machine learning, and data visualization. Strong written and oral communication skills that allow dissemination of complex technical issues in a clear, concise manner to a variety of scientific and non-scientific audiences;
  • Keen interest in working in a dynamic, exciting industry and applying scientific information for protection of human and environmental health.


  • Proficiency in programming with Python, R or Javascript is a plus

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow whats next. No matter your role, you will be part of a team that is building the future of agriculture leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.

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