Associate AI Data Scientist I — ML for Drug Discovery

AbbVie; North Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

AbbVie is seeking an experienced Associate AI Data Scientist I to join the FAiM Team. The role sits at the intersection of machine learning and clinical data operations within Global Therapeutics, aiming to accelerate drug discovery and improve patient outcomes.

The candidate will collaborate across technology and business groups to deliver precise, reliable AI-driven solutions with strong data science skills and clinical science knowledge.

Qualifications

• Bachelor’s degree in CS/DS or related field.
• Experience with large language models and ML algorithms.
• Strong Python programming and FastAPI backend skills.

Responsibilities

• Design, develop, and deploy AI-driven solutions for clinical and pharmaceutical challenges.
• Develop and maintain backend systems using FastAPI for data processing pipelines.
• Collaborate with clinical scientists, IT, and business stakeholders.
• Lead multiple projects with high quality standards.
• Translate complex concepts for non-technical stakeholders.
• Stay current with emerging AI technologies relevant to pharma research.
• Design and develop data-driven solutions using storage, transfer, integration, visualization, and analysis of large datasets.
• Apply pharmaceutical domain knowledge to accelerate agile, impactful solutions.

Skills

Machine learning

Python

Large language models

Communication skills

Project management

Education

Bachelor's Degree in Computer Science or Data Science

Tools

FastAPI

AWS

Job description

AbbVie is seeking an experienced Associate AI Data Scientist I to join the FAiM Team. The role sits at the intersection of machine learning and clinical data operations within Global Therapeutics, aiming to accelerate drug discovery and improve patient outcomes.

The candidate will collaborate across technology and business groups to deliver precise, reliable AI-driven solutions with strong data science skills and clinical science knowledge.