Senior Computational Scientist > Paris > Joboolo FR :
Société : Barrington James Lieu : Paris
Join a forefront pharmaceutical research and development organisation in Paris, France, dedicated to revolutionising drug discovery through pioneering physics-based applications.
Their team of leading experts is committed to identifying groundbreaking drug candidates and optimising existing ones using advanced computational methods.
They are currently seeking a seasoned and passionate SeniorComputational Drug Discovery Scientist to join their dynamic team.
In this pivotal role, you will drive their drug discovery initiatives by employing state-of-the-art computational techniques to identify and design potential therapeutic candidates.
This position offers an exceptional opportunity for professionals with an extensive background in computational chemistry to make a profound impact on the development of life-changing pharmaceuticals.
Responsibilities:
Lead the application of computational techniques such as molecular docking and molecular dynamics simulations to assess the binding affinities of proteins and small molecules, identifying potential therapeutic options.
Innovate and enhance new molecular entities with improved properties and optimize existing compounds using ligand - and structure-based drug design methodologies.
Oversee and analyse large-scale chemical datasets to discern patterns and extract significant insights, facilitating the strategic selection of compound libraries and therapeutic targets.
Collaborate closely with cross-disciplinary teams, including biologists, medicinal chemists, and other experts, to prioritize lead compounds and guide experimental efforts towards successful drug development.
Contribute to the development and maintenance of internal computational tools and pipelines to support ongoing drug discovery efforts.
Stay at the forefront of the latest advancements in drug discovery, computational chemistry, and related fields to ensure the application of cutting-edge techniques.
Background:
Ph.D.
in Computational Chemistry, Medicinal Chemistry, or a related field.
Demonstrated expertise in molecular modelling software such as AutoDock, Schrà¶dinger, and similar programs.
Strong programming skills for data analysis and scripting in languages such as R or Python.
Extensive experience with molecular dynamics simulations and cheminformatics is highly advantageous.
Proficiency in cheminformatics and small molecule ligand discovery, including molecular dynamics simulations, protein homology modelling, small molecule docking, pharmacophore hypothesis, in silico virtual screening, database searches, combinatorial library design, QSAR, and ADMET properties modelling.
Advanced coding skills, particularly in Linux/UNIX systems with object-oriented programming.
Exceptional attention to detail and problem-solving capabilities.
Proven ability to collaborate and communicate effectively within a team.
Capacity to work independently and collaboratively in a fast-paced environment.
Following your application Filipa Englefield, a specialist AI recruiter will discuss the opportunity with you in detail.
She will be more than happy to answer any questions relating to the industry and the potential for your career growth.
The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.
This position has been highly popular, and it is likely that it will close prematurely.
We recommend applying as soon as possible to avoid disappointment.
Please click â??apply' or contact Filipa Englefield for further information.
