Senior Programmer II, RWE

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Veramed

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🏥 Healthcare

💊 Pharmaceuticals

🧬 Biotechnology

Healthcare • Pharmaceuticals • Biotechnology

Veramed is a biometrics-focused contract research organization (CRO) that provides data management, biostatistics, programming, evidence & value generation, and standards/AI services to pharmaceutical and biotechnology clients. The company offers end-to-end biometrics support, Functional Service Provider (FSP) and project-based delivery models, regulatory submission-ready data, advanced automation and AI (Veramed. ai), CDISC compliance, and data visualization to minimize submission issues and audit findings. Veramed positions itself as a trusted partner for biotech and pharma, emphasizing operational governance, scalability, and a people-first culture.

📋 Description

• Provide leadership and expertise in RWE Statistical Programming to Veramed’s clients across a range of projects, clients and therapeutic areas • Take the lead on the manipulation of large databases and generation of reports to enable exploration of “real world” healthcare data • Lead work projects and work independently including carrying out QC checks on deliverables and interim outputs • Review outputs from other colleagues and provide advice on process improvements • Carry out a number of management activities • Build analytic data sets from raw RWE datasets using SQL or other relational database languages • Conduct complex statistical programming on RWE analytic datasets using R or SAS • Build and populate table shells as per SAP • Carry out oncology-specific analyses and data cleaning activities • Build proxies and/or workarounds to report on relevant outputs when key variables of interest are missing • Carry out rapid feasibility requests to determine number of patients available for a particular study • Build time-saving tools and macros

🎯 Requirements

• Have a bachelor’s degree in data science, computer science, statistics, mathematics, chemistry or other subject with high statistical/numerical/modelling content • Have the equivalent of at least 8 years of relevant industry experience • Possess excellent R and SQL programming skills and the ability to implement complex logic • Be familiar with RWE datasets and a wide range of epidemiological/statistical techniques used in RWE studies • Possess strong communication, time management and documentation skills. • Hold a master’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content • Possess pharmaceutical/life sciences industry experience • Have training or experience in epidemiological methods • Be comfortable creating complex analysis data sets derived from various data sources • Have a careful eye for outliers and errors.

🏖️ Benefits

• Health insurance • Flexible working hours • Professional development