Medicinal Chemist, Computational Chemist - Molecular Design (m/f/d)

Posted 11 days 22 hours ago by AbbVie Deutschland GmbH & Co. KG

Not Specified
Design Jobs
Rheinland-Pfalz, Ludwigshafen am Rhein, Germany, 67061
Job Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter , Facebook , Instagram , YouTube und LinkedIn .

The Computer-aided Molecular Design group is looking for an experienced and creative senior scientist (medicinal chemistry, computational chemistry, cheminformatician) with proven ability in computer-aided drug design to join the Neuroscience Discovery team in Ludwigshafen and contribute to the discovery of our next generation Neuroscience therapies.

For our location in Ludwigshafen, Germany we are looking for a
Senior Scientist / Principal Scientist - Computational Molecular Design (m/w/d)

Travel: Yes, 5 % of the Time

Job Type: Experienced

Schedule: Full-time

Job Level Code: IC

Support and advance drug discovery projects from exploratory to lead and clinical candidate stage by delivering high quality science and developing computer-aided, hypothesis-driven, and property-focused compound design and in silico tools
Pro-actively apply current state-of-the-art computer-aided drug design and machine learning techniques to solve a broad and diverse range of medicinal chemistry problems
Expert-level knowledge of relevant state-of-the-art commercial and open source computational chemistry packages (e.g. Schrödinger, CCG, Cresset, OpenEye) and modern data analysis tools and their application to drug discovery projects
Clear understanding of medicinal chemistry concepts and strategies with a track record of applying inno­vative solutions that have advanced drug discovery projects
Identify CADD-related gaps and evaluate new computational chemistry tools to accelerate Neuroscience drug discovery projects
Coach junior staff and advise and guide MedChem project teams on current best practices and relevant software packages in computer-aided drug design
Be part of interdisciplinary research teams and closely interact with global MedChem design groups, the AbbVie CADD council and research informatics organizations to ensure access to critical resources
Increase external and internal visibility through engaging with the scientific community and scientific publications

The role of Computational Molecular Designer is a key scientific role to advance our Neuroscience Drug Discovery portfolio by applying state-of-the-art and stage-appropriate computer-aided drug design and machine learning techniques. The role offers the opportunity to influence and shape the design and SAR strategy of several med chem project teams. The Computational Molecular Designer will work closely with the project teams from early exploratory stage to lead optimization contributing to the delivery of tool molecules, hits, leads and candidates. In addition to being embedded in AbbVie's global Medicinal Chemistry organization, this role will work closely with cross-functional partners from neuroscience biology in LU and/or at the CRC in Boston and with partners from other relevant cross-functional partners locally and globally.
Ph.D. in Medicinal or Computational Chemistry, pharmaceutical sciences or a related field and several years of experience in computational drug design and MedChem portfolio support (minimum 1 year in a pharma / biotech industry setting)
Expert knowledge and experience in a broad spectrum of computational molecular design techniques applied in drug discovery such as protein modeling, ligand- and structure-based small molecule design, molecular dynamics, free energy calculations, data mining and machine learning and related commercial and open source software packages
Proven track record in the application of those methods to medicinal chemistry problems in either early explora­tory project support or in the generation of hits, leads and candidates
Strong knowledge in organic chemistry and small molecule drug design and familiarity with pharma­cological, medicinal chemistry and DMPK concepts
Excellent presentation skills along with proven ability to work effectively in multi-disciplinary and cross-functional teams promoting and facilitating coordination and cooperation among peers
Evidence for the application of original or innovative thinking to improve processes, methods, systems, products, or services
Fluent in English, both written and spoken. German is a bonus
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