This role pays less than
69%
of similar roles. Most pay
$151,862–$235,750
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$194k
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.
Senior Scientist I/II, Computational Biology & AI joins the Computational Toxicology group to advance the use of data science, machine learning, and AI in predicting drug safety across small molecules, biologics, and emerging therapeutic modalities. This role serves as a scientific bridge between biology and computation, where you will translate complex toxicological challenges into actionable analytical strategies. You will design and deploy predictive models, reproducible computational pipelines, and user-friendly tools to address preclinical and translational safety hurdles. Key responsibilities include integrating diverse data sources such as genomics, chemistry, and clinical datasets while collaborating with pathologists and pharmacologists. Required skills include proficiency in Python or R, experience with statistical methods, and a strong foundation in biology or pharmacology. You will develop solutions for the technical challenge of understanding drug mechanisms and improving safety outcomes through advanced computational tools.
Python
R
Machine Learning
Data Science
High-Content Imaging
Cell Culture
Flow Cytometry
ELISA
Genomics
Cloud Computing
Large Language Models
Generative AI
Analytical Pipelines
Statistics
In Vitro Assays
Organ-on-Chip
Remote (Foster City, CA)8 days ago
$169,320–$219,120
Python
PyTorch
JAX
Machine Learning
Deep Learning
Generative Modeling
Protein Language Models
Foundation Models
Geometric Neural Networks
AlphaFold
Active Learning
Multimodal Learning
Representation Learning
Data Integration
Design-Build-Test-Learn