Join an innovative firm as a skilled R/RShiny Developer, where your expertise will transform analytics tools in the clinical data domain. This role involves designing and deploying advanced RShiny applications on cloud platforms, collaborating with data scientists and biostatisticians to enhance clinical data analysis. You'll be responsible for developing data pipelines and ensuring seamless integration of data sources. If you're passionate about leveraging R and RShiny to drive impactful solutions in life sciences, this is your opportunity to make a difference in the delivery of life-changing therapies.
Qualifications
5+ years in IT with a focus on data visualization using R.
Experience in Life Sciences, Biotech, or Pharma is essential.
Proficiency in R, R packages, RStudio, and RShiny.
Responsibilities
Design and deploy advanced RShiny applications on cloud platforms.
Collaborate with teams to create sophisticated RShiny applications.
Develop robust data pipelines for large datasets within RShiny.
Skills
R
RShiny
Data Visualization
Cloud-native Architecture
Performance Optimization
User-Centric Design
SQL
CI/CD Tooling
Education
Bachelor's degree in Computer Science
Master's degree (preferred)
Tools
Posit Workbench
Posit Connect
AWS
GitLab
GitHub
Databricks
Job description
Join an innovative firm as a skilled R/RShiny Developer, where your expertise will transform analytics tools in the clinical data domain. This role involves designing and deploying advanced RShiny applications on cloud platforms, collaborating with data scientists and biostatisticians to enhance clinical data analysis. You'll be responsible for developing data pipelines and ensuring seamless integration of data sources. If you're passionate about leveraging R and RShiny to drive impactful solutions in life sciences, this is your opportunity to make a difference in the delivery of life-changing therapies.