Senior Data Analyst I, RWE

Syneos Health

Data Analyst I conducting RWE studies in a hybrid setup for Syneos Health. Collaborating across teams while applying statistical analyses to real-world data.

Posted 5/7/2026full-timeShanghai • 🇨🇳 ChinaSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 (e.g., claims, EMR/EHR, registries, omics data, wearable data, PROs) to inform study design, feasibility assessments, and methodological decisions.
Strong fluency in at least one of SAS or R is mandatory.
Perform advanced statistical analyses using SAS, R, Python, SQL, and/or other appropriate tools, ensuring data quality, reproducibility, traceability, and methodological rigor.
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 with clear interpretation of findings and articulation of limitations.
Experience in providing client-facing support, including presenting planning and project updates, explaining methodologies, addressing technical questions, and contributing to strategic discussions.
Demonstrate a consulting-oriented approach by proactively identifying risks, proposing solutions, and adapting to evolving client needs.
Manage programming timelines and analytical workstreams across multiple concurrent projects; communicate progress, risks, and mitigation strategies effectively to internal and external stakeholders.
Occasional support of proposal development, desk research, and exploratory analyses as needed.

Requirements

What you’ll need

Master’s degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Health Economics, Bioinformatics, Computer Science, or a related quantitative discipline, or equivalent combination of education and experience
5 years (minimum of 3 years) of project-based experience conducting RWE research using secondary healthcare data sources (e.g., claims, EMR/EHR, registries, hospital databases, lab/genomic data, wearable data, PROs)
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.
Proven ability to manage multiple priorities, work independently, and deliver high-quality outputs under tight timelines.
Demonstrated consulting mindset with the ability to translate analytical results into strategic insights and practical recommendations.

Benefits

Comp & perks

We are passionate about developing our people, through career development and progression
supportive and engaged line management
technical and therapeutic area training
peer recognition and total rewards program
We are committed to building an inclusive culture – where you can authentically be yourself.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

statistical analysisprotocol developmentoperational definitionsanalytical specificationsadvanced statistical analysesdata qualityreproducibilitytraceabilitymethodological rigorRWE research

Soft Skills

client-facing supportconsulting-oriented approachrisk identificationsolution proposaladaptabilitycommunicationproject managementindependenceprioritizationstrategic insight translation

Certifications

Master’s degreeBiostatisticsStatisticsEpidemiologyPublic HealthHealth EconomicsBioinformaticsComputer Science