Veramed
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.
Principal Statistician
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🔥 0 minutes ago
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Veramed
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 statistical leadership and expertise across CMC and preclinical projects • Design studies and contribute to experimental strategy and hypothesis development • Perform end-to-end statistical analyses, including study design, analysis planning, data preparation, analysis and reporting • Develop bespoke analytical solutions and data analysis pipelines using modern statistical and programming tools • Apply advanced statistical methodologies to address complex scientific questions • Partner with multidisciplinary teams to align statistical approaches with programme objectives • Identify and implement innovative analytical methods to enhance existing capabilities • Communicate risks, challenges and opportunities that may impact project delivery • Collaborate directly with scientists from study design through data interpretation and decision-making
🎯 Requirements
• Strong statistical foundations • Experience in one or more of: assay development and analysis; industrial experimental design; pharmaceutical sciences; Bayesian statistics; frequentist statistics; machine learning and artificial intelligence; process development or manufacturing sciences • Experience in one or more valuable areas: signal processing; high-frequency data analysis; electrophysiology; digital health technologies; glucose monitoring data; high-resolution imaging data analysis • Ability to apply quantitative methods to complex scientific and technical problems • Intellectual curiosity and passion for quantitative methods • Experience partnering with multidisciplinary scientists and researchers
🏖️ Benefits
• Flexible working environment • Strong learning culture supporting development of expertise across new scientific domains • Opportunities across Europe • Internationally connected team • Equal opportunities employer • Inclusive and sustainable workplace as a B Corp accredited company
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