
Clinical & Statistical Programming Intern-R&D
Full time Johnson & Johnson posted 1 month ago in Cosmetics , in Pharmaceuticals , in Product Management , in Research Shortlist Email JobJob Detail
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Offered Salary 0
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Career Level Mid- Senior
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Experience 3 Years
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Gender All
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Qualifications Master Degree
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Language Requirement English
Job Description
- Develops basic knowledge and experience of the role of Clinical & Statistical Programming in the drug development process and the related processes, concepts, techniques and approaches adopted through training, coaching and engaging in activities relevant to the function.
- Design and develop statistical programs of low complexity in support of low-risk functional deliverables related to clinical research analysis and reporting.
- Perform appropriate quality control and verification activities of low complexity in support of assigned clinical research analysis and reporting activities.
- Maintain Statistical Programming documentation related to these activities.
- Provide input into other procedural or technical documents.
- Maintain Statistical Programming documentation related to these activities
- Provide input into other procedural or technical documents.
- Develop applications in R/R Shiny/Python to facilitate data visualization, review of Biomarker data, etc.
- Populate a knowledge base for all enterprise applications with SME input.
- Building automation testing scripts for the non-GxP applications
- Performs activities in accordance with departmental processes and procedures as appropriate.
- Ensures continued compliance with required company and departmental training, time reporting, and other business/operational processes as required relative to activities.
- May contribute to departmental innovation and process improvement projects or exploratory research projects relevant to the function.
Qualifications
Education:- Enrolled in a qualified, relevant master’s degree program or higher and/or equivalent in public health, statistics, mathematics, data science/analytics, computer science, or other relevant scientific fields (or equivalent theoretical/technical depth).
- Demonstrated written and verbal communication skills.
- Basic knowledge of relevant programming languages (e.g. SAS, R, Python, etc.).
- R Programming skills in data manipulation and data visualization with corresponding R packages of dplyr, tidyr, ggplot2, etc.
- Knowledge or experience in R Shiny and Shiny module, familiar with corresponding R packages such as shiny, shinyjs, shinydashboard, bs4Dash, etc.
- SAS or R Programming skills in data analysis and reporting
- Project experience relevant to human health, clinical trial, or drug development, etc.
- Good written and verbal communication skills in English
Required skills
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