Sr Data Analyst I, RWE ** Hybrid SERBIA **

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Sr Data Analyst I, RWE ** Hybrid SERBIA ** Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health - 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. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life. - We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities JOB RESPONSIBILITIES AND REQUIREMENTS 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; must be able to lead SAP development without supervision for "straightforward" studies, e.g., treatment patterns, purely descriptive studies. 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. QUALIFICATION REQUIREMENTS 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 (to demonstrate experience, explicit supporting evidence is required). 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. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across

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