Senior ML Scientist: Molecule Modeling & Predictive AI

AbbVie

North Chicago (IL)

On-site

USD 140,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Paid time off
Medical/dental/vision insurance
401(k)
Short-term incentives

Job summary

AbbVie is seeking an experienced ML/AI researcher to conceive and implement novel experimental approaches in the drug discovery arena. You will investigate, develop, and optimize methods, contribute to project science, and build predictive models with cross‑functional collaboration across science disciplines.

The role emphasizes Python proficiency, deep learning, cheminformatics, and communication skills to explain complex ideas clearly to non‑specialists.

Qualifications

  • Experience developing machine learning models related to chemical and biological data.
  • Strong programming skills in Python and data science libraries.
  • Experience with ML/Deep Learning, cheminformatics, and model deployment.

Responsibilities

  • Conceive and implement novel experimental approaches to answer scientific questions.
  • Investigate, identify, develop, and optimize new methods and techniques.
  • Contribute to project science in area of expertise and collaborate across groups.
  • Build predictive models and communicate rationale for model selection.

Skills

Machine Learning/Deep Learning
Data science stack: NumPy/Pandas/Scik‑
GNN/CNN/RNN/Transformer
Cheminformatics
Cloud computing
Communication skills
Analytical thinking

Education

Bachelor’s Degree or equivalent
Master’s Degree or equivalent
PhD

Tools

Python

Job description

AbbVie is seeking an experienced ML/AI researcher to conceive and implement novel experimental approaches in the drug discovery arena. You will investigate, develop, and optimize methods, contribute to project science, and build predictive models with cross‑functional collaboration across science disciplines.

The role emphasizes Python proficiency, deep learning, cheminformatics, and communication skills to explain complex ideas clearly to non‑specialists.

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