Sr Scientist I, AI / ML in Ludwigshafen am Rhein bei AbbVie

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.

AbbVie seeks a knowledgeable, self-motivated, and creative scientist with demonstrated impact in AI/ML applications for computational chemistry / drug discovery. The selected candidate will join our Computational Drug Discovery group within the Discovery Research organization.

The candidate will have the opportunity to develop and advance AI/ML technologies at the heart of computer-aided drug 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 molecular generation, drug-target interaction prediction, and modeling that leverage artificial intelligence and machine learning models to enhance molecular design capabilities. 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.

This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA, South San Francisco, CA or Ludwigshafen, Germany.

Qualifications:

• BS, MS, or PhD in Chemistry/Computer Science/Machine Learning/Cheminformatics/Chemical Engineering or related education with typically 10+ years (BS), 8+ years (MS), or 0-3+ years (PhD) and experience developing machine learning models related to chemical and biological data.
• 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 generation, and/or affinity prediction are preferred
• Ability to implement, debug, and maintain computational tools in common programming languages (Python, etc…) and proficiency with cloud computing capabilities
• 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
• Familiarity with KNIME, Pipeline Pilot, or other automation interfaces
• 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
• Experience with deep learning platforms such as Pytorch, Tensorflow, or Keras
• Strong programming skills in Python and experience with data science stack including numpy, pandas, scikit-learn, and other related scientific libraries

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 d