Clinical & Statistical Programming Intern-R&D

Full time Johnson & Johnson in Cosmetics , in Pharmaceuticals , in Product Management , in Research Email Job
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Job Detail

  • Offered Salary 0
  • Career Level Mid- Senior
  • Experience 3 Years
  • Gender All
  • Qualifications Master Degree
  • Language Requirement English
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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).
Experience and Skills: Required:
  • Demonstrated written and verbal communication skills.
  • Basic knowledge of relevant programming languages (e.g. SAS, R, Python, etc.).
Preferred:
  • 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.
Other:
  • Good written and verbal communication skills in English
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