below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$162,000–$221,237
— the blue band above.
At the midpoint, this role pays about
$186k
versus about
$192k
for comparable roles.
Based on 240 similar postings.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
38 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 33 roles with salary data.
JOB TITLE: Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence
The Senior Manager, Data, Data Science & Artificial Intelligence– Immunology Real World Evidence serves as an individual contributor within the Immunology research and development programs. This role involves delivering complex data science and real-world evidence strategies to inform clinical development and scientific decision-making. Key responsibilities include leading evidence generation workstreams, identifying evidence gaps, performing patient characterization, and exploring novel endpoints. The successful candidate will apply advanced statistical methodologies and predictive modeling to real-world data sources, including electronic health records, administrative claims, registries, and secondary data. Core competencies include data science, epidemiology, bioinformatics, and computational biology. The role addresses the technical challenge of translating disease priorities into actionable research questions and providing methodological recommendations to support program decisions and regulatory-supporting analyses within the immunology therapeutic area.
Execute real-world and data science evidence plans aligned with Immunology disease and therapeutic area objectives.
Lead evidence generation workstreams to identify evidence gaps, patient subgroups, and novel endpoints for clinical development.
Apply data science and statistical methodologies to real-world data sources to address prioritized scientific questions.
Manage end-to-end project activities including data validation, protocol development, and results interpretation.
Serve as a technical subject-matter expert providing methodological recommendations to support program decision-making.
Prepare analytical summaries, presentations, and written materials for internal stakeholders and governance forums.
Contribute to scientific manuscripts, abstracts, and internal knowledge-sharing activities based on clinical and real-world analyses.
Support external scientific collaborations by providing real-world evidence expertise and joint project deliverables.
What we're looking for
PhD, PharmD, MD, or equivalent advanced degree in statistics, bioinformatics, epidemiology, computational biology, data science, or a related quantitative discipline.
Master’s degree with substantial relevant experience may be considered.
Demonstrated experience applying data science or real-world evidence methods within pharmaceutical R&D, healthcare analytics, consulting, or a related professional field.
Proven ability to work effectively within matrixed, cross-functional teams.
Experience working with real-world data sources such as electronic health records, administrative claims, registries, or secondary data.
Strong stakeholder management, analytical, problem-solving, and communication skills.
Experience supporting Immunology or related therapeutic area programs (preferred).
Hands-on delivery of research projects using advanced statistical methods, predictive modeling, or machine learning (preferred).
Python
R
SQL
Machine Learning
Deep Learning
Generative AI
Natural Language Processing
MLOps
CI/CD
Data Science
Advanced Analytics
Predictive Modeling
Large Language Models
Data Engineering
Feature Engineering
Data Visualization
Biostatistics
Statistics
Artificial Intelligence
Machine Learning
Data Science
Predictive Analytics
Deep Learning
A/B Testing
Advanced Analytics
Data Visualization
Claude Code
ChatGPT
Copilot
Data Analysis
Data Privacy Standards
Electronic Health Records
Healthcare Claims
Python
Machine Learning
SQL
NLP
Data Science
Deep Learning
Data Mining
Statistical Modeling
Data Lakes
Cloud Platforms
A/B Testing
Information Retrieval
Sentiment Analysis
Topic Modeling
Classification
Data Engineering
Python
R
SQL
Data Science
Natural Language Processing
LLM
GenAI
Predictive Modeling
Classification
Data Analysis
Data Infrastructure
Quantitative Research