below marketmost similar roles pay hereabove market
This role pays less than
91%
of similar roles. Most pay
$159,000–$214,825
— the blue band above.
At the midpoint, this role pays about
$140k
versus about
$187k
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
46 open roles
on FindRole.
Listed pay typically runs
$113,000–$201,250
across 38 roles with salary data.
Manager CDT Data Sharing joins the Clinical Data Standards and Transparency team to serve as a subject matter expert in clinical data sharing. This role manages the end-to-end process for internal and external data sharing requests, ensuring strict adherence to privacy requirements and established procedures. Key responsibilities include supervising vendors for data anonymization and synthetization, acting as the primary contact for YODA Project requests, and providing guidance to external research teams using clinical study data. The position requires a background in scientific, technology, or healthcare disciplines with experience in biostatistics or clinical programming. Core competencies include statistical programming, data governance, data privacy standards, and risk assessments. The role solves the complex business problem of facilitating compliant, secure, and transparent access to clinical data for research purposes.
Manage all internal and external data sharing requests from initial receipt through final delivery.
Ensure all data sharing activities comply with J&J privacy requirements and established procedures.
Supervise vendors responsible for data anonymization and synthetization from work assignment to delivery.
Act as the primary J&J contact for all YODA Project Requests and secure necessary clinical team approvals.
Provide guidance and support to external research teams utilizing J&J clinical study data.
Lead cross-functional projects to drive solution-based outcomes within a matrix organization.
Prioritize tasks to meet specific timelines and quality standards for data transparency initiatives.
What we're looking for
Bachelor’s degree in a scientific, technology, or healthcare discipline, or equivalent experience.
At least 5 years of relevant experience in pharmaceutical or scientific fields such as biostatistics or clinical programming.
Strong understanding of data sharing, anonymisation, and regulatory requirements.
Excellent communication, leadership, and problem-solving skills.
Demonstrated ability to build relationships with internal and external partners.
Experience leading cross-functional projects and driving solution-based outcomes.
Advanced Analytics, Coaching, Critical Thinking, Cross-Functional Collaboration, Database Management, Data Governance, Data Management, Data Privacy Standards, Data Savvy, Data Security, Data Sharing, Emerging Technologies, Information Security Risk Management, Performance Measurement, Process Improvements, Risk Assessments, Strategic Thinking, and Technical Credibility (preferred).
SAS
R
Python
CDISC
Biostatistics
Statistical Analysis Systems
Data Structures
Clinical Data Management
ICH-GCP
Data Analytics
Data Engineering
Systems Development
Metadata-driven approaches
Quality Assurance
Data Privacy Standards
Data Instrumentation
SQL
Python
AEP
CJA
Amplitude
Data Observability
A/B Testing
Data Governance
GDPR
CCPA
ML
Data Quality
Schema Drift
Cloud Data Stack
Analytics Implementation
SQL
Excel
APIs
Agile
Project Management
SLA Management
Data Analysis
Cloud Data Sharing
Technical Program Management
Data Privacy
Root-Cause Analysis
DCS AI tools
AWS
S3
Lambda
DynamoDB
Python
SQL
dbt
Qlik Replicate
InfoSphere DataStage
CP4D
Data Vault
Git
DevOps
Agile
SCRUM
Kanban
API Development
Data Warehousing
Data Modeling