At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https: //www.jnj.com

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About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https: //www.jnj.com/innovative-medicine

The intern will be a member of the research and development team at the Innovative Medicine R& D center in Toledo, interacting closely with organic and computational chemists. During the internship, the researcher will work on the development of computational tools to support activities within the drug discovery workflow, focusing on methods aimed at rationalizing and predicting molecular structure-activity relations. He/she will gain ample expertise in the use of molecular dynamics for the analysis of flexibility in protein-ligand complexes and will use tools such as molecular docking and AI-based methods for the prediction of biomolecular structures and interactions.

During the 12 months period at the Innovative Medicine R& D center, the researcher will receive both practical and theoretical training on the application of computational chemistry to medicinal chemistry, with a focus on the selection of the most appropriate computational techniques, the analysis and the interpretation of experimental data and the communication of scientific results.

The Computer Aided Drug Discovery (CADD) group is part of the In Silico Discovery department and is focused on the use of modelling and computational approaches to understand the interactions between molecules, their potential biological targets, and the therapeutic implications. The group plays a key role collaborating with therapeutic areas and other functional scientific areas to apply modelling in the discovery of new drugs.

Requirements:

• Master’s degree in Chemistry, Biochemistry, Bioinfortmatics or related field obtained in the last four years

• No previous working experience in a position related to the academic degree after the degree was obtained

• Not having been the recipient of similar internship grants in the past

• Interest in computational chemistry and experience with molecular dynamics simulations

• Experience working with shell scripting in Unix/Linux environments and Python coding

We offer:

• One year internship

• 1000 euros per month

• Start date - October

• Toledo