Sr Scientist I/II Informatics - Peptide Design

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 X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

AbbVie seeks a knowledgeable, self-motivated, and creative scientist for cyclic peptide design in for computational chemistry / drug discovery. The selected candidate will join our Computational Drug Discovery group within the Discovery Research organization. AbbVie has recently gained the capability to synthesize millions of custom cyclic peptide sequences in a “programmable” manner, and to individually characterize their interaction with a desired protein partner. The candidate will be expected to leverage this opportunity to computationally design novel cyclic peptides as an entry-point to this platform.

The candidate will have the opportunity to develop and advance physics-based modeling as well as AI/ML technologies at the heart of computer-aided peptide design. The candidate should have broad experience with computational techniques with a focus on the state-of-the-art methods in machine learning applied to chemical and biological data. The key responsibilities of this position are to identify, develop, optimize, validate, and deploy innovative methods for modeling cyclic peptides and their interactions with proteins. The candidate should have a working knowledge of chemistry and the ability to work collaboratively with a broad variety of disciplines including other members of our internal computational chemistry and cheminformatics groups to accelerate drug discovery from hit identification through candidate selection.

You will have access to state-of-the-art modeling, simulation, and machine learning technologies as well as computing infrastructure, and be able to leverage rich collections of data to accelerate drug discovery in a fast-paced and creative environment.

Key Responsibilities:

•  Developing, implementing and deploying programs and computational solutions employing Machine Learning/Deep learning and Cheminformatics
• Ability to implement, debug, and maintain computational tools in common programming languages (Python, etc…) and proficiency with cloud computing capabilities
• Familiarity with modern deep learning architectures including GNN, CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning

Qualifications:

• Bachelor’s Degree or equivalent education and typically, 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.
• MS, or PhD in Chemistry/Computer Science/Machine Learning/Cheminformatics/Chemical Engineering or related education with experience developing machine learning models related to chemical and biological data, preferred.
• Expertise in AI/ML-enabled molecular generation, pose generation, sequence design, and/or affinity prediction are preferred
• Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively, and provide solutions both individually and collaboratively with internal experts to develop and optimize the computational discovery infrastructure including cloud resources
• Excellent ability to communicate clearly and concisely with colleagues and collaborators including an ability to explain complex ideas to non-specialists
• Strong programming skills in Python and experience with data science stack including numpy, pandas, scikit-learn, and other related scientific libraries
• The level of the position will be determined by the skill set of the candidates

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

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• 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. ​​

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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 to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s 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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