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Clinical Data Scientist(m/w/x)
Description
As a Clinical Data Scientist, you will engage in setting up risk-based monitoring systems and developing analytical tools, while also visualizing clinical trial data and ensuring compliance with regulatory standards. This role involves transforming complex datasets and collaborating with cross-functional teams to deliver effective data-driven solutions.
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Requirements
- •Degree in Data Science, Mathematics, Statistics, Computer Science, or equivalent
- •Minimum 4 years of R and R Shiny programming experience in Clinical/Pharmaceutical domain
- •Experience in custom R Shiny application development using structured frameworks such as golem
- •Proven proficiency in R visualization and reporting packages, such as shiny, R Markdown
- •Solid data wrangling skills in R using packages such as dplyr, lubridate
- •Experience working with diverse data sources, including relational databases, Excel files, and SAS datasets
- •Practical experience in developing and maintaining R packages
- •Familiarity with version control workflows, including Git
- •Full professional proficiency in English
- •Strong analytical and logical thinking
- •Communication and collaboration skills
- •Experience in data engineering including relational databases, data warehousing, data modeling
- •Experience in R Shiny frontend customization using CSS and JavaScript
- •Object-oriented programming for R R6
- •Azure Services: DevOps, Synapse
- •Atlassian Products: Jira, Confluence
- •Experience with CluePoints RBM system
- •Knowledge of statistical methods and techniques for analyzing data
- •Experience using Machine Learning techniques and products testing and validation
Education
Work Experience
4 years
Tasks
- •Set up and maintain risk-based monitoring systems
- •Develop and program Key Risk Indicators and Quality Tolerance Limits
- •Create Tables, Figures, and Listings for trial oversight
- •Program and maintain interactive dashboards using R and R Shiny
- •Visualize clinical trial data for medical review and risk assessment
- •Manage and transform complex datasets from multiple sources
- •Integrate datasets into the PSI data platform for analysis
- •Advise on new tools and methodologies for clinical trial analytics
- •Ensure compliance with regulatory standards and quality expectations
- •Collaborate with teams to identify study-level challenges
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
More Vacation Days
- •Additional days off
Other Benefits
- •Life insurance
Healthcare & Fitness
- •Medical insurance
Corporate Discounts
- •Sports card
Free or Subsidized Food
- •Lunch card
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Clinical Data Scientist(m/w/x)
The AI Job Search Engine
Description
As a Clinical Data Scientist, you will engage in setting up risk-based monitoring systems and developing analytical tools, while also visualizing clinical trial data and ensuring compliance with regulatory standards. This role involves transforming complex datasets and collaborating with cross-functional teams to deliver effective data-driven solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Data Science, Mathematics, Statistics, Computer Science, or equivalent
- •Minimum 4 years of R and R Shiny programming experience in Clinical/Pharmaceutical domain
- •Experience in custom R Shiny application development using structured frameworks such as golem
- •Proven proficiency in R visualization and reporting packages, such as shiny, R Markdown
- •Solid data wrangling skills in R using packages such as dplyr, lubridate
- •Experience working with diverse data sources, including relational databases, Excel files, and SAS datasets
- •Practical experience in developing and maintaining R packages
- •Familiarity with version control workflows, including Git
- •Full professional proficiency in English
- •Strong analytical and logical thinking
- •Communication and collaboration skills
- •Experience in data engineering including relational databases, data warehousing, data modeling
- •Experience in R Shiny frontend customization using CSS and JavaScript
- •Object-oriented programming for R R6
- •Azure Services: DevOps, Synapse
- •Atlassian Products: Jira, Confluence
- •Experience with CluePoints RBM system
- •Knowledge of statistical methods and techniques for analyzing data
- •Experience using Machine Learning techniques and products testing and validation
Education
Work Experience
4 years
Tasks
- •Set up and maintain risk-based monitoring systems
- •Develop and program Key Risk Indicators and Quality Tolerance Limits
- •Create Tables, Figures, and Listings for trial oversight
- •Program and maintain interactive dashboards using R and R Shiny
- •Visualize clinical trial data for medical review and risk assessment
- •Manage and transform complex datasets from multiple sources
- •Integrate datasets into the PSI data platform for analysis
- •Advise on new tools and methodologies for clinical trial analytics
- •Ensure compliance with regulatory standards and quality expectations
- •Collaborate with teams to identify study-level challenges
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
More Vacation Days
- •Additional days off
Other Benefits
- •Life insurance
Healthcare & Fitness
- •Medical insurance
Corporate Discounts
- •Sports card
Free or Subsidized Food
- •Lunch card
About the Company
PSI CRO
Industry
Pharmaceuticals
Description
The company is a leading Contract Research Organization with almost 30 years on the market, offering a perfect balance between stability and innovation.
- Immatics Biotechnologies GmbH
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