Job Description

The Molecular Profiling and Drug Delivery (MPDD) function within the Synthetic Molecule CMC organization is accountable for a broad range of deliverables across various stages of drug discovery and development. During virtual screening/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 design and progress candidates with higher probability of success into development and advise clinical drug delivery 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.

Computational chemists within AbbVies MPPD organization work collaboratively with other functions within Development Sciences and Discovery Sciences across two focus areas: molecular design and profiling and formulation design across modalities.   MPDD computational chemists guide the design and progression of compounds and formulations with optimal developability properties towards the overall vision of advancing first-in-class and best-in-class clinical candidates.  They focus on developing hierarchical modeling approaches including physics-based atomistic modeling encompassing Molecular Dynamics (MD) and Quantum Mechanics (QM) Machine learning (ML)/Artificial Intelligence (AI) and hybrid models based on Physics-ML/AI approaches. They also collaborate seamlessly with medicinal chemists data scientists material scientists and molecular modelers to incorporate these models in project screening funnels and medicinal chemistry design cycle. 

AbbVies MPDD organization is seeking a highly motivated talented and creative scientist with experience and expertise in computational chemistry for a Senior Scientist position. This person will make key contributions towards enablement of our modeling vision. Specifically the person will be working collaboratively with discovery colleagues to develop stage-appropriate computational models using advanced computational techniques to enable design and optimization of drug candidates across modalities.  The ideal candidate should possess an advanced degree in computational chemistry with a strong background in the area such as quantum mechanics atomistic molecular simulations (molecular dynamics) and AI/machine learning.

Responsibilities

• In collaboration with Discovery Research and Development Sciences project teams utilize advanced computational tools towards the design optimization and profiling of drug candidates.
• Advance computational chemistry capabilities through innovation and implementation of new methodologies and workflows towards capturing key developability properties such as permeability stability toxicity and solubility. Examples include but are not limited to utilization of molecular simulations/QM approaches coupled with AI/ML approaches to predict dynamic molecular conformations/electronic structure and their impact on Absorption Distribution Metabolism and Excretion Toxicity (ADMET) properties and Chemistry Manufacturing and Controls (CMC) properties.
• Serve as a lead computational scientist on project teams and drive the development and implementation of appropriate computational models within projects to support various aspects of drug discovery and drug development.
• Generate hypotheses for compound property improvement and apply them to new compound design.
• Contribute to the development of computational infrastructure by identification of novel tools and techniques.
• Act as a strong team player in a cross-functional and collaborative environment.
• Demonstrate excellent oral and written communication skills.
• Promote design-driven and predict-first culture
• Educate and train colleagues on various computational tools and techniques

Qualifications :

• Bachelors Masters or PhD with 8 (BS) 5 (MS) and 0-3 (PhD) years of experience in computational chemistry computer science biophysics chemical engineering or related field
• Knowledge in one or more areas of the computational chemistry discipline such as quantum mechanics/chemistry molecular reactivity molecular dynamics structure-based design ligand-based design structure property relationship modeling physicochemical property prediction
• Advanced user of QM or MD software packages.  This may include open-source codes (PySCF Psi4 GROMACS OpenMM LAMMPS etc..) or commercial software (VASP Schrodinger OpenEye MOE etc).
• Ability to build and integrate computational models through combining different workflows while also modifying or improving workflow source codes as needed.
• Familiarity with machine learning or neural network packages including but not limited to Scikit-learn Pytorch
• Well versed in writing codes in Python R C/C etc.
• Nice to have: a candidate with deep understanding of electronic structure methodologies and algorithms as well as experience with developing quantum circuits/algorithms for quantum computers (i.e. qiskit expertise). 

Additional Information :

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including  geographic location and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. 

• We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to  participate in our short-term incentive programs. 

Note: No amount of pay is  considered to be wages or compensation until such amount is earned vested  and determinable. The amount and availability of  any bonus commission incentive benefits or any other form of compensation and benefits that are allocable toa  particular employee  remains in the Companys sole and absolute discretion unless and until paid and may be  modified at the Companys sole and absolute discretion consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity driving innovation transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

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No

Employment Type :

Full-time

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