ML Expert Senior Scientist, II

Purpose

This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. The key responsibilities of this position are to identify develop optimize validate and deploy innovative machine learning approaches to guide molecular optimization. This role will collaborate closely with project teams comprising medicinal chemists structural biologists biochemists cell biologists and other computational chemistry / chemoinformatics experts.

Responsibilities

• Consult with project team to establish quantitative targets for driving optimization.
• Identify suitable models to predict small molecule binding affinities for protein targets and to predict pharmacological properties (PK parameters etc.).
• Build predictive models for each project endpoint and carefully benchmarking to evaluate performance and domain of applicability for each model.
• Decisively identify the model that should be used for each project team query molecule using data-driven approaches that take account of model uncertainty and heteroscedasticity.
• Clearly communicate to the project team the rationale for model selection and why the selected models are best suited for the task at hand.
• Deploy models to ensure accessibility for the project team facilitating collaborative ideation and optimization.

Qualifications :

Qualifications

• Bachelors Degree or equivalent education and typically 12 years of experience Masters Degree or equivalent education and typically 10 years of experience PhD and typically 4 years of experience.
• Expertise with developing implementing and deploying programs and computational solutions employing Machine Learning/Deep learning and Cheminformatics.
• Expertise in AI/ML-enabled molecular generation pose prediction affinity prediction and/or prediction of pharmacological properties (e.g. PK).
• Strong programming skills in Python and experience with data science stack including numpy pandas scikit-learn and other related scientific libraries.
• 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.
• Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively and provide solutions both individually and collaboratively with internal experts.
• Excellent ability to communicate clearly and concisely with colleagues and collaborators including an ability to explain complex ideas to non-specialists.

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 long-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 to a 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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Work :

No

Employment Type :

Full-time