# Sr Data Analyst I, RWE

**Company**: Syneos Health
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://syneoshealth.wd12.myworkdayjobs.com/en-US/Syneos_Health_External_Site/job/JPN-Tokyo-Remote/Sr-Data-Analyst-I--RWE_25112440?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3ddadc30-6dc

## Description

We are seeking a Sr Data Analyst I, RWE to join our Clinical Solutions team. As a Sr Data Analyst I, RWE, you will contribute to the design of RWE studies, including protocol development, and lead statistical analysis plans (SAPs) and other key study documents with minimal supervision.

Responsibilities:

- Contribute to the design of RWE studies, including protocol development, ability to lead statistical analysis plans (SAPs), and other key study documents with minimal/modest supervision

- Apply comprehensive knowledge of real-world data sources to inform study design, feasibility assessments, and methodological decisions

- Perform advanced statistical analyses using SAS, R, Python, SQL, and/or other appropriate tools

- Develop operational definitions, code lists, and analytical specifications aligned with study objectives and industry standards

- Prepare high-quality tables, figures, and listings (TFLs) and contribute to study reports, manuscripts, and client deliverables

- Provide client-facing support, including presenting planning and project updates, explaining methodologies, addressing technical questions, and contributing to strategic discussions

Requirements:

- Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Health Economics, Bioinformatics, Computer Science, or a related quantitative discipline

- 5 years (minimum of 3 years) of project-based experience conducting RWE research using secondary healthcare data sources

- 5 years (minimum of 2 years in a consulting setting) of hands-on statistical programming experience (e.g., SAS, R, Python, SQL) in a research or consulting setting

- Strong understanding of RWE methodologies, observational study designs, bias and confounding control methods, and data governance considerations

- Excellent written and verbal communication skills in English, with client-facing experience and preparing deliver-ready results and presenting to stakeholders

## Skills

### Required
- SAS
- R
- Python
- SQL
- Biostatistics
- Statistics
- Epidemiology
- Public Health
- Health Economics
- Bioinformatics
- Computer Science

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