Machine Learning Expert Senior Scientist I

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Salary
$84,500–$162,000 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday
Closes
Aug 20, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $123k
$68k most similar roles pay here $242k

This role pays less than 92% of similar roles. Most pay $126,800–$212,457 — the shaded band above. At the midpoint, this role pays about $123k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Machine Learning Expert Senior Scientist I

The ML Expert / Senior Scientist I joins the Research & Development team to conceive and implement novel experimental approaches for solving scientific questions. This individual will collaborate with project teams to establish quantitative targets, identify suitable models to predict small molecule binding affinities for protein targets, and predict pharmacological properties like PK parameters. The role involves building predictive models, benchmarking performance, and utilizing data-driven approaches that account for model uncertainty. Key technical requirements include expertise in machine learning, deep learning, and cheminformatics, specifically regarding molecular generation, pose prediction, and affinity prediction. Candidates must be proficient in Python and the data science stack including numpy, pandas, and scikit-learn. Experience with architectures like GNN, CNN, RNN, Transformer, GCNN, and MPNN is required to solve complex chemical and biological data challenges within a research environment.

What you'll do

  • Establish quantitative targets for driving project optimization.
  • Identify suitable models to predict small molecule binding affinities and pharmacological properties.
  • Build predictive models for relevant endpoints and benchmark them to evaluate performance and applicability.
  • Select specific models for query molecules using data-driven approaches that account for uncertainty.
  • Communicate the rationale for model selection and suitability to the project team.
  • Develop, implement, and deploy programs using machine learning and cheminformatics.
  • Maintain computational tools in Python and utilize cloud computing capabilities.

What we're looking for

  • Bachelor’s Degree and 7+ years of experience, or a Master’s Degree and 5+ years of experience.
  • Degree in chemistry, computer science, machine learning, cheminformatics, or chemical engineering (preferred).
  • Expertise in developing, implementing, and deploying programs using Machine Learning, Deep Learning, and Cheminformatics.
  • Experience with AI/ML-enabled molecular generation, pose prediction, affinity prediction, and pharmacological property prediction.
  • Strong programming skills in Python and the data science stack including numpy, pandas, and scikit-learn.
  • Ability to implement, debug, and maintain computational tools and proficiency with cloud computing capabilities.
  • Familiarity with architectures like GNN, CNN, RNN, Transformer, GCNN, and MPNN, plus paradigms like GAN and active learning.
  • Excellent communication skills to explain complex ideas to non-specialists and collaborate with internal experts.

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