Senior Data Analyst, RWE

Syneos Health

. Contribute to the design of RWE studies, including protocol development and statistical analysis plans .

Posted 10/23/2026full-timeBelgrade • SerbiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Real-World Evidence (RWE) study design, statistical programming, and advanced data analysis using tools such as SAS, R, and Python. Proven ability to manage multiple projects, communicate effectively with clients, and deliver high-quality analytical results.

Highest-signal resume keywords

Real-World Evidence (RWE) MethodologiesStatistical Programming in SAS or RAdvanced Statistical AnalysisClient-Facing ExperienceProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisProtocol DevelopmentData Quality AssuranceOperational Definitions DevelopmentAnalytical SpecificationsFeasibility AssessmentsData GovernanceBias and Confounding ControlStatistical ProgrammingData Interpretation

Soft Skills

Excellent Communication SkillsConsulting MindsetAbility to Manage Multiple PrioritiesAdaptabilityStrategic Insight Translation

Tools & Technologies

SASRPythonSQL

Industry Keywords

BiostatisticsStatisticsEpidemiologyPublic HealthHealth EconomicsBioinformaticsQuantitative DisciplineSecondary Healthcare Data

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Contribute to the design of RWE studies, including protocol development and statistical analysis plans
Lead SAP development without supervision for straightforward studies
Apply knowledge of real-world data sources to study design, feasibility assessments, and methodological decisions
Perform advanced statistical analyses using SAS, R, Python, SQL, and/or other tools
Ensure data quality, reproducibility, traceability, and methodological rigor
Develop operational definitions, code lists, and analytical specifications
Prepare tables, figures, and listings and contribute to study reports, manuscripts, and client deliverables
Interpret findings and articulate limitations
Provide client-facing support through planning and project updates, methodology explanations, technical responses, and strategic discussions
Identify risks, propose solutions, and adapt to client needs
Manage programming timelines and analytical workstreams across multiple concurrent projects
Communicate progress, risks, and mitigation strategies 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 with explicit supporting evidence
Minimum 3 years of project-based experience conducting RWE research using secondary healthcare data sources; 5 years stated as the higher target
Minimum 2 years of hands-on statistical programming experience in a research or consulting setting; 5 years stated as the higher target
Strong fluency in at least one of SAS or R is mandatory
Experience with SAS, R, Python, SQL, and/or other appropriate tools
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
Client-facing experience and experience preparing deliver-ready results and presenting to stakeholders
Ability to manage multiple priorities, work independently, and deliver high-quality outputs under tight timelines
Demonstrated consulting mindset and ability to translate analytical results into strategic insights and practical recommendations

Benefits

Comp & perks

Career development and progression
Supportive and engaged line management
Technical and therapeutic area training
Peer recognition and total rewards program
Inclusive culture
Reasonable accommodations when appropriate