Hybrid Toxicology Scientist: Lab & Data

BioSpace; North Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Job summary

AbbVie is seeking a hybrid scientist who combines bench toxicology with computational analytics. The role focuses on designing in vitro assays and building predictive models to understand drug safety across modalities.

You will act as a bridge between laboratory science and data science, driving projects from concept through interpretation. The successful candidate will blend hands-on experimentation with machine learning and AI methodologies, collaborating with clinicians, toxicologists,

Qualifications

• Hands-on in vitro toxicology experience designing and troubleshooting assays.
• Strong background in toxicology, pharmacology, or cell biology with data interpretation.
• Ability to translate biological questions into computational strategies.
• Experience communicating results to diverse scientific audiences.

Responsibilities

• Design, execute, and optimize in vitro toxicology assays to support hazard identification.
• Generate high-quality experimental data and ensure reproducibility for modeling.
• Develop analytical workflows and predictive models using integrated datasets.
• Collaborate across toxicology, pathology, pharmacology, and data science teams.

Skills

In vitro toxicology

Python

R

Statistical analysis

Machine learning

Cross-functional collaboration

Scientific communication

Education

PhD in Toxicology/Pharmacology/Cell Biology

MS/PhD accepted with relevant experience

Tools

Python

R

Job description

AbbVie is seeking a hybrid scientist who combines bench toxicology with computational analytics. The role focuses on designing in vitro assays and building predictive models to understand drug safety across modalities.

You will act as a bridge between laboratory science and data science, driving projects from concept through interpretation. The successful candidate will blend hands-on experimentation with machine learning and AI methodologies, collaborating with clinicians, toxicologists,