below marketmost similar roles pay hereabove market
This role pays less than
75%
of similar roles. Most pay
$160,400–$214,900
— the blue band above.
At the midpoint, this role pays about
$159k
versus about
$188k
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
53 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 41 roles with salary data.
The Manager, Epidemiology is a manager-level individual-contributor role within the Orthopaedics team. This hands-on research position focuses on designing, executing, and disseminating real-world evidence and outcomes research to address evidence gaps and support product lifecycle and market access needs. You will develop study protocols, perform hands-on data preparation, and conduct statistical programming and analysis using real-world healthcare data. Key responsibilities include drafting manuscripts, managing study timelines, and collaborating with cross-functional partners and external vendors. The role requires proficiency in R, Python, or similar statistical software, alongside expertise in epidemiology, biostatistics, and data science. You will apply quasi-experimental study designs and causal inference methods, such as propensity score methods and survival analysis, to solve complex clinical and economic problems within the orthopaedic medical device space.
Design and execute real-world evidence (RWE) and outcomes research studies.
Develop study protocols, analysis plans, and data element specifications.
Perform hands-on data preparation, statistical programming, and analysis using healthcare databases.
Draft manuscripts, abstracts, and scientific presentations for publication and evidence dissemination.
Support economic modeling and develop research-based tools for business partners.
Manage study timelines, deliverables, and day-to-day research activities with internal and external collaborators.
Partner with cross-functional stakeholders to identify evidence gaps and prioritize research aligned with business objectives.
Present research findings at scientific conferences, advisory boards, and industry working groups.
What we're looking for
Master’s degree in health economics and outcomes research, epidemiology, biostatistics, health services research, health policy, pharmacy, or a related quantitative field.
Doctorate (PhD) (preferred).
At least 5 years of experience in RWE, outcomes research, or health analytics within the medical device, MedTech, or pharmaceutical industry.
Orthopedics subject matter expertise, such as joint reconstruction, trauma, spine, or sports medicine (preferred).
Hands-on experience with healthcare databases, such as Medicare, Premier, or Optum (preferred).
Strong foundation in at least two of the following: outcomes research, epidemiology, biostatistics, and data science.
Demonstrated experience applying quasi-experimental study designs and causal inference methods to real-world healthcare data.
Proficiency in R, Python, or similar statistical software for hands-on programming and analysis.
SAS
R
Python
Biostatistics
Statistical Analysis Plan
Clinical Trial Design
Data Science
Simulation Studies
Statistical Methodology
Data Collection
Clinical Development
R
Shiny
Machine Learning
AI
Large Language Models
GxP
Statistical Programming
Version Control
Data Science
Clinical Trials
Reproducible Programming
Statistical Analysis Plans
SAS
R
Python
Biostatistics
Clinical Trial Design
Statistical Analysis Plan
Data Science
Simulation Studies
Clinical Development
Real-World Data
Data Collection Instruments
Statistical Methodology
Data Presentation
Evidence Generation