This role pays more than
76%
of similar roles. Most pay
$195,000–$279,093
— the shaded band above.
At the midpoint, this role pays about
$279k
versus about
$237k
for comparable roles.
Based on 240 similar postings.
Employer
About Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.
Bristol Myers Squibb currently has
33 open roles
on FindRole.
Listed pay typically runs
$125,480–$152,049
across 33 roles with salary data.
Senior Director, Clinical Pharmacology & Pharmacometrics, Research Business Insights & Technology serves as a strategic leader within the Research Business Insights & Technology team to oversee the clinical pharmacology and pharmacometrics (CPP) technology stack. This role is responsible for building and managing modeling environments, workflow automation, and governed operational capabilities that support the entire lifecycle from preclinical-to-clinical bridging through dose selection and regulatory submission outputs. The successful candidate will manage a team of scientific technologists and engineers to develop tools for population PK, PBPK, QSP, and exposure-response analysis. Key technical requirements include experience with Quarto-based reporting automation, AI/ML applications, and advanced analytics to improve reproducibility and traceability. This role solves the challenge of scaling complex quantitative modeling workflows while ensuring that all outputs remain inspection-ready and compliant for regulatory evidence generation in a highly matrixed research environment.
PBPK Modeling
In Silico Modeling
Drug Delivery
Biopharmaceutics
High-Throughput Screening
Solid-State Chemistry
Formulation Development
Automation
Dissolution Testing
Small Molecules
Peptides
Genetic Medicines
CMC
Material Science
Chemical Engineering
Remote (West Point, PA)9 days ago
$173,200–$272,600
Bioprocess Engineering
Upstream Cell Culture
Process Development
Technology Transfer
cGMP
Process Characterization
Scale-up
Validation
Antibody Therapeutics
Viral Clearance
Process Performance Qualification (PPQ)
Analytical Characterization
Product Development Lifecycle
Clinical Manufacturing
Machine Learning
Artificial Intelligence
Python
R
TensorFlow
PyTorch
Scikit-learn
Hugging Face
MLOps
Airflow
Kubeflow
MLflow
AWS
Azure
CI/CD
CDISC
OMOP
Big Data
Data Architecture
Machine Learning
Large Language Models
Generative AI
Natural Language Processing
Python
SQL
Deep Learning
Model Evaluation
Clinical Data
EMR Systems
Data Science
Responsible AI
HIPAA
AI
Machine Learning
Data Science
Laboratory Automation
Digital Twin
Advanced Analytics
Cloud Computing
Process Modeling
Predictive Analytics
Advanced Process Control
Data Engineering
Data Governance
High-Throughput Experimentation
Knowledge Management
Digital Transformation