Sr RW Programmer / Sr Data Scientist / Analyst – Real World Data
Company: Syneos Health
Location: USA (MA – Remote) / UK Only
Job ID: 25108521
Work Authorization: US/UK only (No sponsorship)
Updated: Yesterday
1. Role Overview
This role focuses on real-world data (RWD) programming, epidemiology support, and advanced analytics. The position involves heavy programming work using healthcare datasets and supporting epidemiologists in generating real-world evidence (RWE).
Key focus areas:
Real-world data analysis
Statistical programming
Epidemiology support
Healthcare data transformation
2. Core Responsibilities
A. Data Programming & Analytics
Develop analytical programs using:
SAS
R
Python
SQL (required)
Generate:
Summary tables
Listings
Graphs
Analysis datasets
Build derived real-world datasets based on SAPs and specifications
B. Healthcare Data Work
Work with large commercial and claims datasets:
Optum
HealthVerity
IQVIA Pharmetrics
Nice-to-have exposure:
MarketScan
Medicare / Medicaid
VA datasets
Strong experience with:
Electronic Health Records (EHR)
Claims data
C. Study Design & Protocol Support
Review and interpret:
Study protocols
Statistical Analysis Plans (SAPs)
Programming specifications
Define key analytical constructs:
Cohort derivation
Index dates
Follow-up periods
Ensure alignment between analysis and study objectives
D. Statistical & Modeling Techniques
Apply advanced analytical methods:
Logistic regression
Cox proportional hazards models
Generalized Linear Models (GLM)
Propensity Score Matching
Incidence rate calculations
Handle messy and incomplete real-world datasets
E. Data Standards & Terminology
Use and understand:
ICD coding systems
Clinical terminology
OMOP Common Data Model (CDM)
Transform healthcare data into standardized analytical formats
F. Quality & Compliance
Ensure outputs meet:
SOPs
ICH guidelines
Study requirements
Perform validation programming and QC
Maintain audit-ready documentation
Resolve discrepancies with cross-functional teams:
Epidemiologists
Biostatisticians
Programmers
G. Collaboration & Communication
Participate in:
Sponsor meetings
Kickoff meetings
Communicate programming progress and risks
Provide input on:
SAPs
Data structures
Programming logic
Mentor junior programmers and support knowledge sharing
3. Required Skills & Qualifications
Education
Bachelor’s or Master’s degree in:
Biostatistics
Epidemiology
Mathematics
Related scientific/statistical field
Technical Skills
Strong programming experience in:
SAS OR R
Python (preferred)
SQL (mandatory)
Experience in real-world data environments (RWD/RWE)
Domain Expertise
Claims and EHR data experience
ICD coding knowledge
Study design interpretation
Cohort building experience
Understanding of follow-up and exposure definitions
4. Preferred / Nice-to-Have Skills
AI/ML experience (especially LLM workflows)
GitHub / version control
Advanced machine learning modeling
Multi-database healthcare experience
OMOP CDM expertise
5. Work Style & Expectations
Manage multiple concurrent projects
Strong time management and prioritization
Adapt to changing study timelines
Independent problem-solving ability
Strong documentation discipline
6. Key Soft Skills
Strong communication (written + verbal)
Attention to detail
Ability to work in cross-functional teams
Proactive issue escalation
Ability to explain complex analytics clearly
7. Role Impact
Supports generation of real-world evidence (RWE) for healthcare decision-making
Enables epidemiologists and clinical researchers with high-quality data outputs
Contributes to regulatory and sponsor-level research insights
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