This role pays more than
70%
of similar roles. Most pay
$142,400–$211,750
— the shaded band above.
At the midpoint, this role pays about
$198k
versus about
$177k
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.
As a Senior Expert Data Science within the Data and Statistical Sciences team, you will partner with development scientists and process engineers to strengthen process and assay understanding. You will translate complex scientific data into insights to support Chemistry, Manufacturing, and Controls decision-making for cell and gene therapies. Your daily responsibilities include applying statistical, machine learning, and multivariate methods to bioprocess and experimental datasets, building pipelines to integrate data from multiple sources, and developing curated models for repeatable analysis. You will create dashboards and reports for both technical and non-technical audiences while leading projects from definition through delivery. The role requires proficiency in Python or R, along with expertise in regression, hypothesis testing, and predictive modeling. You will solve complex manufacturing and analytical problems within a regulated biopharmaceutical environment to improve process characterization and monitoring.
Machine Learning
Artificial Intelligence
Python
R
SQL
Data Science
Deep Learning
GenAI
NLP
Pandas
Biostatistics
Statistical Analysis
Data Visualization
Unix
Linux
Version Control
Time Series Analysis
Logistic Regression
Graph Algorithms
Python
SQL
Java
Machine Learning
Statistics
Spark
Scala
R
scikit learn
TensorFlow
Data Visualization
Natural Language Processing
Recommendation Systems
Optimization Models
WCAG) 2.2 AA