This role pays less than
81%
of similar roles. Most pay
$162,000–$254,750
— the shaded band above.
At the midpoint, this role pays about
$148k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About Novartis
Novartis is a global biopharmaceutical company that researches, develops, manufactures, and markets prescription drugs in areas including oncology, immunology, neuroscience, and cardiology. Industry: Biopharmaceuticals
Novartis currently has
26 open roles
on FindRole.
Listed pay typically runs
$194,600–$361,400
across 26 roles with salary data.
The AI Scientist – AI-Driven Target Identification joins the Oncology Data Science team within Biomedical Research. This role focuses on applying advanced machine learning and artificial intelligence to extract actionable insights from complex multi-modal datasets, specifically targeting drug target identification, biomolecular interaction modeling, and biomarker discovery. The successful candidate will develop generative AI applications using pre-trained, self-supervised, and multi-purpose models while collaborating with cross-functional teams to establish best practices for ML-ready data. Key technical requirements include proficiency in PyTorch, Python, and the broader LLM software stack including feature engineering and model validation. Candidates should possess expertise in geometric deep learning, large-scale knowledge graphs, and omics data within an oncology drug development context. The role involves solving complex problems at the intersection of computational biology and AI to advance early-stage drug discovery efforts through innovative technical methodologies.
Python
TensorFlow
PyTorch
Keras
SQL
NLP
GenAI
Large Language Models
Spark
Ray
MLOps
CI/CD
Linux
Neural Networks
Recommender Systems
Computer Vision
Statistical Analysis
Generative AI
LLMs
Python
Spark
TensorFlow
PyTorch
AWS
Azure
Machine Learning
Deep Learning
Statistics
GPT
BERT
Cohere
Data Science
Time Series Analysis