Fortrea is looking for a Clinical Data Scientist - R Programmer to join our team in Poland in a fully remote setup.
In this role you will support Centralized Monitoring by configuring and maintaining systems setting up new studies and developing standard and bespoke monitoring functionalities. You will work closely with Data Scientists to ensure high-quality efficient data oversight across clinical trials
Key Responsibilities
Develop and maintain R programs to support RBQM (Risk based Quality Management) for clinical trial data
Collaborate with cross-functional teams to understand and implement project-specific data needs
Provide technical expertise and support for data analysis and reporting tasks
Perform quality control and validation of outputs to ensure accuracy and consistency
Contribute to process improvements and development of programming standards using R
Qualifications
Bachelors degree in a quantitative field (e.g. Statistics Mathematics Computer Science Data Science)
Minimum of 2 years of experience in R programming including familiarity with R packages (e.g. Tidyverse ggplot2 survival)
Familiarity with data visualization techniques and tools in R
Experience with clinical trial data
Knowledge in Industry R packages like ADMIRAL and OAK
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
Desirable Skills
Knowledge of other open-source packages and tools
Experience with SAS software
Familiarity with CRAN POSIT and other open-source repositories and products
Learn more about our EEO & Accommodations request here.
Required Experience:
IC
Fortrea is looking for a Clinical Data Scientist - R Programmer to join our team in Poland in a fully remote setup.In this role you will support Centralized Monitoring by configuring and maintaining systems setting up new studies and developing standard and bespoke monitoring functionalities. You wi...
Fortrea is looking for a Clinical Data Scientist - R Programmer to join our team in Poland in a fully remote setup.
In this role you will support Centralized Monitoring by configuring and maintaining systems setting up new studies and developing standard and bespoke monitoring functionalities. You will work closely with Data Scientists to ensure high-quality efficient data oversight across clinical trials
Key Responsibilities
Develop and maintain R programs to support RBQM (Risk based Quality Management) for clinical trial data
Collaborate with cross-functional teams to understand and implement project-specific data needs
Provide technical expertise and support for data analysis and reporting tasks
Perform quality control and validation of outputs to ensure accuracy and consistency
Contribute to process improvements and development of programming standards using R
Qualifications
Bachelors degree in a quantitative field (e.g. Statistics Mathematics Computer Science Data Science)
Minimum of 2 years of experience in R programming including familiarity with R packages (e.g. Tidyverse ggplot2 survival)
Familiarity with data visualization techniques and tools in R
Experience with clinical trial data
Knowledge in Industry R packages like ADMIRAL and OAK
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
Desirable Skills
Knowledge of other open-source packages and tools
Experience with SAS software
Familiarity with CRAN POSIT and other open-source repositories and products
Learn more about our EEO & Accommodations request here.
Required Experience:
IC
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