Senior Scientist I, Computational Chemistry

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions 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, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. 

Job Description

Organization Overview 

The Molecular Profiling and Drug Delivery (MPDD) function within the Small Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During lead generation/optimization and through candidate selection, MPDD scientists utilize state of the art automation and computational tools supported by expertise in biopharmaceutics, drug delivery, and solid-state chemistry to collaboratively progress candidates with higher probability of success into development and advise clinical formulation strategy. From candidate selection through clinical proof of concept and product launch, MPDD scientists work in cross functional teams to identify the commercial solid form of the active pharmaceutical ingredient (API) and establish structure-property-performance correlations to help deliver robust commercial processes and align control strategies across drug substance and product. They also transition drug substance isolation processes and relevant physical characterization methods to commercial manufacturing sites and work within teams to ensure successful regulatory submissions.

Computational chemists within AbbVie's MPPD organization work collaboratively with other functions within Development Sciences and Discovery Sciences across four focus areas: molecular design, materials profiling, formulation design, and compound profiling (large and small molecules) towards the vision of guiding the design and progression of compounds with optimal developability properties and impacting project team decisions.  Computational chemists focus on developing a hierarchical modeling approaches, including physics-based atomistic modeling, encompassing Molecular Dynamics (MD) and Quantum M