AbbVie is looking to solve serious health issues today and address the medical challenges of tomorrow in key therapeutic areas such as immunology, oncology, neuroscience, and eye care.
Requirements
- Strong programming skills in Python and/or R
- Experience in deep learning/machine learning and TensorFlow or PyTorch
- Exposure to bioinformatics
- Exposure to RNA-seq and/or DNA-seq analysis
- Experience with computational biology
- Exposure to neuroscience projects
Responsibilities
- Curate and preprocess neuroscience-relevant perturb-seq data for LLM model training
- Fine-tune single-cell foundation model using perturb-seq data
- Train and validate classifier to predict gene perturbations from transcriptomic profiles
- Simulate reversal of transcriptomic disease state based on disease-specific gene expression signatures and pathways
- Consistent collaboration with Neuroscience colleagues to determine transcriptomic disease signatures and prioritize genes for follow-up experiments
Other
- Currently enrolled in university, pursuing a Master’s / PhD in bioinformatics, AI/ML, computational biology or other related field
- Must be enrolled in university for at least one semester following the internship
- Expected graduation date between December 2026 – July 2027 (2028 PhD)
- Strong written, verbal and oral communication skills, good self-organization
- Travel: Yes, 5% of the Time
