Data Analyst II, RWE

Syneos Health

Data Analyst II at Syneos Health contributing to RWE study designs and statistical analyses. Collaborating on healthcare data projects leveraging real-world evidence methodologies.

Posted 6/15/2026full-timeShanghai • 🇨🇳 ChinaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Contribute to the design of RWE studies, including protocol development, statistical analysis plans (SAPs), and other key study documents with moderate supervision.
Apply working 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 statistical analyses using SAS, R, Python, SQL, and 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.
Support 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 identifying risks, proposing solutions, and adapting to evolving client needs.
Support management of assigned programming timelines and analytical workstreams across multiple concurrent projects; communicate progress, risks, and mitigation strategies effectively to internal and external stakeholders.
Support 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.
Minimum of 2 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).
Minimum of 2 years of hands-on statistical programming experience (e.g., SAS, R, Python, SQL) in a research or consulting setting.
Foundational 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 experience preparing and presenting to stakeholders.
Proven ability to manage multiple priorities, work collaboratively, and deliver high-quality outputs under tight timelines.
Demonstrated consulting mindset with the ability to translate analytical results into clear 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 specificationsdata qualityreproducibilitytraceabilitymethodological rigorRWE researchobservational study designs

Soft Skills

consulting-oriented approachcommunication skillscollaborationproject managementproblem-solvingadaptabilitystakeholder engagementpresentation skillstime managementcritical thinking