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Syneos Health
Syneos Health
H1B vizos rėmėjasKonsultavimasLogistikaSveikatos priežiūra
„Syneos Health“ yra visiškai integruota biofarmacijos sprendimų organizacija, padedanti klientams perkelti gydymo būdus iš klinikinio kūrimo į komercinį tiekimą. Jos komandos derina klinikinę veiklą, medicinos reikalų valdymą, komercines žinias, technologijas ir rinkos įžvalgas, kad atlieptų kintančius sveikatos priežiūros poreikius ir padėtų kurti bei visame pasaulyje pristatyti svarbius gydymo būdus.
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Darbai įmonėje

Principal or Senior Biostatistician, R and Shiny — Remote UK

Use R and Shiny to explore clinical trial data and build interactive visualizations. Support Syneos Health’s life sciences clients with reproducible analyses and insights for clinical decisions.

GBJungtinė KaralystėNuotolinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųKlinikiniai tyrimai
SQL

Aprašymas

  • Explore clinical trial data with interactive R and Shiny applications
  • Prepare, integrate, and quality-check clinical datasets for exploratory analysis
  • Use interactive visualizations to find trends, safety signals, efficacy patterns, subgroup differences, and data quality issues
  • Lead data reviews and exploratory analysis meetings using interactive visualizations
  • Present complex statistical results as clear visual narratives for clinical decision-making
  • Work with clinicians, statisticians, programmers, and R application developers to define analytical needs and prioritize application features
  • Build reproducible analytical workflows and reports with modern R tools
  • Suggest enhancements, report bugs, and request features to improve the application ecosystem
  • Train and assist users of internally developed analytical applications
  • Keep up with emerging analytical methods and visualization techniques in the R ecosystem

Reikalavimai

  • Industry experience as a biostatistician using R
  • Experience using R for statistical analysis and visualization, including Shiny applications
  • MS or PhD in biostatistics, statistics, mathematics, data science, or a related quantitative field
  • Experience supporting clinical development in pharmaceutical, biotechnology, or CRO settings
  • Understanding of clinical trial design, statistical methods, and clinical data standards
  • Strong communication and presentation skills, including explaining statistical concepts to multidisciplinary audiences
  • Strong collaboration and stakeholder management skills
  • Ability to work effectively in a Dynamic Shared Ownership (DSO) environment
  • Fluent English
  • Based in Europe
  • Strong understanding of SDTM and ADaM datasets
  • Experience exploring efficacy and safety data
  • Knowledge of statistical methods used across clinical development
  • Experience interpreting and communicating statistical findings
  • Advanced R programming skills
  • Data manipulation and transformation skills
  • Experience building reproducible analytical workflows
  • Experience with packages such as shiny, plotly, ggplot2, dplyr, tidyr, purrr, gt, gtsummary, and reactable
  • Experience creating and presenting interactive visualizations with Shiny, Plotly, ggplot2, or other visualization packages
  • Ability to communicate clinical findings effectively through interactive graphics and dashboards
  • Experience with Quarto or RMarkdown
  • Experience with Git and GitHub
  • Reproducible reporting skills
  • Experience quality-checking analytical datasets
  • Experience with collaborative analytical workflows
  • Shiny experience is an advantage
  • Preferred experience with Posit Connect, R package development, SQL, Arrow or DuckDB, AI-assisted analytical workflows, machine learning for exploratory analysis, clinical dashboards and interactive reporting, user training and scientific presentations, and software development workflows
  • Equivalent experience, skills, or education will also be considered

Privalumai

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

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