Sr RW Programmer / Sr Data Scientist / Analyst – Real World Data
Company: Syneos Health
Location: USA (CA – Remote) / UK (Only)
Job ID: 25108521
Work Authorization: No sponsorship available
Updated: Yesterday
1. Role Overview
This role focuses on real-world data (RWD) programming and analytics supporting epidemiology and clinical research. The position involves working with large healthcare datasets, developing analytical programs, and ensuring alignment with study protocols and statistical requirements.
The role combines:
Statistical programming
Data science / analytics
Epidemiology support
Real-world evidence (RWE) generation
2. Key Responsibilities
A. Programming & Data Analysis
Develop programs using SAS, R, Python, or SQL for real-world datasets
Generate:
Summary tables
Listings
Graphs
Analysis datasets
Support cohort creation and study variable derivation
Handle complex and messy healthcare data
B. Study & Protocol Support
Review and interpret study protocols and SAPs
Define:
Index dates
Follow-up periods
Cohort logic
Prepare and validate programming specifications
Ensure outputs align with scientific and regulatory requirements
C. Real-World Data Handling
Work with large commercial healthcare databases:
Optum
HealthVerity
IQVIA Pharmetrics
Preferred experience:
MarketScan
Medicaid / Medicare
VA datasets
Use ICD coding and clinical terminologies
Understand OMOP Common Data Model (CDM)
Transform raw healthcare data into standardized analytical formats
D. Statistical & Machine Learning Methods
Apply statistical modeling such as:
Generalized Linear Models (GLM)
Logistic regression
Cox proportional hazards
Propensity score matching
Incidence rate calculations
Exposure to AI/ML is preferred:
LLM-based workflows
Basic machine learning modeling
Optional: advanced AI/ML experience is a plus
E. Quality, Validation & Compliance
Perform validation programming and QC checks
Ensure compliance with:
SOPs
ICH guidelines
Study requirements
Maintain audit-ready documentation
Resolve discrepancies with cross-functional teams:
Epidemiologists
Biostatisticians
Programmers
F. Collaboration & Communication
Communicate programming progress and risks
Participate in internal and sponsor meetings
Provide input on:
SAPs
Database structures
Programming specifications
Support mentoring and knowledge sharing
3. Required Skills & Experience
Education
Bachelor’s or Master’s degree in:
Biostatistics
Epidemiology
Mathematics
Scientific or statistical field
Technical Skills
Strong programming in:
SAS OR R
Python (preferred)
SQL (required)
Experience with:
Real-world data (RWD/RWE)
Cohort building
Healthcare claims/EHR data
Domain Knowledge
ICD coding systems
Clinical terminology
Study design interpretation
OMOP CDM understanding
Experience with messy, real-world datasets
Nice-to-Have Skills
AI/ML experience
GitHub & version control
Advanced epidemiological modeling
Experience with multiple healthcare datasets
4. Work Style Expectations
Manage multiple projects simultaneously
Strong attention to timelines and deliverables
Ability to handle shifting priorities
Proactive problem-solving mindset
Strong documentation discipline
5. Key Soft Skills
Strong communication (written & verbal)
Cross-functional collaboration
Ability to explain technical findings clearly
Independent working capability
Attention to detail
6. Role Impact
Supports generation of real-world evidence (RWE) for healthcare decision-making
Contributes to epidemiology and clinical research insights
Ensures high-quality analytical outputs for sponsors and regulatory use
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