Principal Biostatistician, Senior Biostatistician – R/Rshiny

🕒 il y a 4 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🧪 Chercheur Clinique

🇬🇧 Parrain de Visa de Travailleur Qualifié UK

Cette entreprise a parrainé des visas de Travailleur Qualifié du Royaume-Uni par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Syneos Health

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10 000+ employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Syneos Health est une organisation de solutions biopharmaceutiques entièrement intégrée et leader, conçue pour accélérer le succès des clients. Ils transforment des intuitions cliniques, des affaires médicales et commerciales uniques en résultats pour répondre aux réalités du marché moderne. En utilisant des technologies avancées et des perspectives, Syneos Health collabore avec les clients pour accélérer la livraison de thérapies importantes aux patients dans le monde entier, offrant des services qui couvrent tout le spectre du clinique au commercial.

Description

• Perform exploratory analyses of clinical trial data using interactive R/Shiny applications • Prepare, integrate, and quality-check clinical datasets for downstream exploratory analyses • Identify trends, safety signals, efficacy patterns, subgroup differences, and data quality issues through interactive visualization • Lead data review sessions and exploratory analysis meetings using interactive visualizations • Translate complex statistical results into clear visual narratives supporting clinical decision-making • Collaborate with clinicians, statisticians, programmers, and R application developers to define analytical requirements and prioritize application features • Develop reproducible analytical workflows and reports using modern R tools • Contribute enhancements, bug reports, and feature requests to improve the application ecosystem • Train and support users of internally developed analytical applications • Stay current with emerging analytical methodologies and visualization techniques within the R ecosystem

🎯 Exigences

• Industry experience as a Biostatistician using R • Previous experience using R for statistical analysis and data visualization, including experience with Shiny applications • MS or PhD in Biostatistics, Statistics, Mathematics, Data Science, or a related quantitative discipline • Experience supporting clinical development within the pharmaceutical, biotechnology, or CRO industry • Strong understanding of clinical trial design, statistical methodology, and clinical data standards • Excellent communication and presentation skills, with the ability to explain complex statistical concepts to multidisciplinary audiences • Strong collaboration and stakeholder management skills • Ability to thrive in a Dynamic Shared Ownership (DSO) environment • Fluency in English • Based in Europe • Strong understanding of SDTM and ADaM datasets • Experience conducting exploratory analyses of efficacy and safety data • Knowledge of statistical methodology used throughout clinical development • Experience interpreting and communicating statistical findings • Advanced R programming • Data manipulation and transformation • Reproducible analytical workflows • Experience with packages such as shiny, plotly, ggplot2, dplyr, tidyr, purr, gt, gtsummary, reactable • Experience creating and presenting interactive visualizations using Shiny, Plotly, ggplot2, and/or other visualization packages • Ability to effectively communicate clinical findings through interactive graphics and dashboards • Experience with Quarto or RMarkdown • Git and GitHub • Reproducible reporting • Quality control of analytical datasets • Collaborative analytical workflows • RShiny experience is an advantage • Preferred: experience with Posit Connect, R package development, SQL, Arrow or DuckDB, AI-assisted analytical workflows, machine learning methods for exploratory analyses, clinical dashboards and interactive reporting, user training and scientific presentations, and software development workflows • Equivalent experience, skills, and/or education will also be considered

🏖️ Avantages

• Career development and progression • Supportive and engaged line management • Technical and therapeutic area training • Peer recognition • Total rewards program • Inclusive culture • Reasonable accommodations, when appropriate, for employees or applicants with disabilities