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Ledgent Technology is seeking a Statistical Programmer to join a remote team for client projects. The candidate will design and maintain SAS/R programs to support the development of clinical trial reports and applications. Successful candidates will have a strong background in programming, particularly with the R stack, and must possess solid communication skills to participate effectively in a collaborative environment.
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We are seeking a Statistical Programmer to work on a remote team for a project with our client. The preferred R stack experience includes dplyr, rmarkdown, dbplyr, ggplot2, roxygen, and plotly to solve complex challenge. We are unable to work with 3rd party candidates.
Summary
The main function of Sr. Analyst is to develop, validate datasets, tables/listing/figures using SAS/R programming language, and other ad-hoc request to support business requirements.
Job Responsibilities
*In this role, you will design, develop, test, and maintain SAS/R programs which support the development of state-of-the-art reports and, at times, shiny applications, used by biostatisticians and statistical programmers.
*You will contribute to multiple projects aimed at improving the success, efficiency, and quality of our trials from design to statistical reporting, data exploration, and visualization.
*Develop, maintain, validate, and run SAS/R programs that access, visualize, analyze, and report clinical trial data, in accordance with statistical analysis plans, ICH guidelines, and applicable regulatory requirements.
*Design, develop, test, and maintain R shiny applications, used by biostatisticians and statistical programmers.
*Follow good programming practices, create, and validate global SAS macros and utilities to automate standard and frequent tasks, enhance quality and efficiency;
*Apply programming skills to support statistical analysis, clinical reporting, regulatory submissions, Ad-Hoc/post-Hoc requests, and scientific publications;
*The collaborative team member typically reports to the team lead, though only requires minimal direction
*Provide technical documentation
*Other duties as assigned
Qualification
*Bachelor's or Master's degree in Computer Science, Biostatistics, or Data Science
*5 years hands on experience in clinical studies.
*5 years hands on experience on SAS and R Shiny;
*The preferred R stack experience includes dplyr, rmarkdown, dbplyr, ggplot2, roxygen, and plotly to solve complex challenge.
*Strong communication skills and attention to documentation
We are seeking a Statistical Programmer to work on a remote team for a project with our client. The preferred R stack experience includes dplyr, rmarkdown, dbplyr, ggplot2, roxygen, and plotly to solve complex challenge. We are unable to work with 3rd party candidates.
Summary
The main function of Sr. Analyst is to develop, validate datasets, tables/listing/figures using SAS/R programming language, and other ad-hoc request to support business requirements.
Job Responsibilities
*In this role, you will design, develop, test, and maintain SAS/R programs which support the development of state-of-the-art reports and, at times, shiny applications, used by biostatisticians and statistical programmers.
*You will contribute to multiple projects aimed at improving the success, efficiency, and quality of our trials from design to statistical reporting, data exploration, and visualization.
*Develop, maintain, validate, and run SAS/R programs that access, visualize, analyze, and report clinical trial data, in accordance with statistical analysis plans, ICH guidelines, and applicable regulatory requirements.
*Design, develop, test, and maintain R shiny applications, used by biostatisticians and statistical programmers.
*Follow good programming practices, create, and validate global SAS macros and utilities to automate standard and frequent tasks, enhance quality and efficiency;
*Apply programming skills to support statistical analysis, clinical reporting, regulatory submissions, Ad-Hoc/post-Hoc requests, and scientific publications;
*The collaborative team member typically reports to the team lead, though only requires minimal direction
*Provide technical documentation
*Other duties as assigned
Qualification
*Bachelor's or Master's degree in Computer Science, Biostatistics, or Data Science
*5 years hands on experience in clinical studies.
*5 years hands on experience on SAS and R Shiny;
*The preferred R stack experience includes dplyr, rmarkdown, dbplyr, ggplot2, roxygen, and plotly to solve complex challenge.
*Strong communication skills and attention to documentation
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county , to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.
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