Data Entry Specialist - WFH

Lead Real World Data Scientist
About the Role
Jazz Pharmaceuticals is seeking a Lead Real World Data Scientist to conduct high-quality Real-World Evidence (RWE) analyses and analytic projects using diverse Real-World Data (RWD) sources, including administrative claims, electronic medical records (EMR), and registry data. Reporting to the Head of RWD/A within the RWE/A, Global Evidence & Value Generation department, this role requires deep expertise in RWD analytics, advanced programming and analytical capabilities, strong organization, and attention to detail.
The successful candidate will contribute to scientifically rigorous RWE research, ensure timely delivery of research outputs, and collaborate with RWA leads and cross-functional team members. This is a remote position supporting innovative research in a global biopharmaceutical environment.
Key Responsibilities
Conduct and audit RWE analyses using RWD from multiple sources.
Collaborate with RWA leads and team members to meet study and recurring reporting timelines.
Apply advanced statistical and epidemiological methodologies to generate robust and reliable results.
Clean and validate RWD and analytical outputs for consistency and reliability.
Maintain clear documentation of analytical programming code and operational definitions to support reproducible and auditable RWE studies.
Develop reports, presentations, and dashboards to communicate complex data insights.
Support the design and implementation of RWA standards to improve operational efficiency and accuracy.
Stay current with evolving RWA methodologies, emerging data visualization technologies, and industry best practices.
Deliver research outputs with strong scientific rigor and attention to quality.
Required Qualifications
MS or PhD in data science, epidemiology, statistics, public health, or a related discipline.
Relevant experience in a biopharmaceutical company, RWE consulting firm, or other relevant healthcare industry:
4+ years of experience with an MS, or
2+ years of experience with a PhD.
Demonstrated expertise working with multiple Real-World Data sources.
Minimum 2 years of hands-on experience working with Flatiron and Optum data.
Expert proficiency in SQL and R.
Familiarity with U.S. and global healthcare coding systems, including ICD, CPT, HCPCS, LOINC, and MedDRA.
Familiarity with healthcare delivery systems, including payers and reimbursement models.
Experience conducting routine and advanced statistical analyses for RWE generation.
Experience working with time-to-event, cross-sectional, and longitudinal data.
Experience with big-data analytical platforms such as Snowflake.
Strong executional rigor and attention to detail.
Ability to work effectively in a fast-paced, flexible, team-oriented environment.
Preferred Qualifications
Knowledge of Python.
Knowledge of data visualization tools such as Power BI.
Experience with emerging RWA methodologies and data visualization technologies.
Skills & Competencies
Real-World Data (RWD) analytics
Real-World Evidence (RWE)
Real-World Analytics (RWA)
SQL
R programming
Python
Statistical analysis
Epidemiological analysis
Data cleaning and validation
Healthcare data analysis
Claims data analysis
Electronic Medical Records (EMR)
Registry data
Flatiron data
Optum data
Big data analytics
Snowflake
Data visualization
Power BI
Healthcare coding systems
ICD, CPT, HCPCS, LOINC, and MedDRA
Healthcare payer and reimbursement models
Time-to-event analysis
Cross-sectional analysis
Longitudinal data analysis
RWE study documentation
Analytical quality control
Research reporting
Presentation development
Problem-solving
Attention to detail
Scientific rigor
Collaboration
Organizational skills
Education & Experience
Education
MS or PhD in Data Science, Epidemiology, Statistics, Public Health, or a related discipline.
Experience
MS: 4+ years of relevant experience.
PhD: 2+ years of relevant experience.
Relevant experience should be within biopharmaceutical companies, RWE consulting firms, or other relevant healthcare industries.
Minimum 2 years of hands-on experience with Flatiron and Optum data.
Experience with multiple RWD sources and advanced statistical and epidemiological analyses.
Work Arrangement & Schedule
Location: Philadelphia, PA, US.
Work arrangement: Remote.
Employment type: Not specified in the provided job description.
Expected weekly hours: Not specified.
Schedule flexibility: Not specified.
Weekend requirements: Not specified.
Internal applicants: Current Jazz employees should apply through the Internal Career site.
Compensation & Benefits
Base salary: $151,200–$226,800 USD for U.S.-based candidates.
Individual compensation within the range depends on qualifications, skills, relevant experience, job knowledge, and other factors.
The company states that the base-pay range is reviewed regularly.
Eligible employees may receive discretionary annual cash bonus or incentive compensation, depending on the role.
Eligible employees may receive discretionary equity grants under the company's Long Term Equity Incentive Plan.
Benefits may include:
Medical insurance
Dental insurance
Vision insurance
401(k) retirement savings plan
Flexible paid vacation
Compliance / Additional Information
Jazz Pharmaceuticals is an equal opportunity/affirmative action employer. Qualified applicants receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.
Company: Jazz Pharmaceuticals
Department: RWE/A, Global Evidence & Value Generation
Reports to: Head of RWD/A
Job designation: #LI-Remote
Posted: September 17, 2026
The compensation information above applies to U.S.-based candidates.
The source description includes a separate reference to a "Senior Principal Real-World Analyst" in the Brief Description while the listed job title is "Lead Real World Data Scientist." The job title provided in the posting is used as the primary title.
Apply Now
Apply for the Lead Real World Data Scientist position at Jazz Pharmaceuticals.

Work arrangement
No