SAS+R
Job Code # 374
Job Location- Pune
Salary- 20 LPA to 30 LPA
Key skills-
a) Any Graduate
b) Minimum of 3 years of experience in R programming
c) Familiarity with data visualization techniques and tools in R
d) Familiarity with R packages like Tidyverse, ggplot2, survival etc
Job Description-
Roles & Responsibilities:
• Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans.
• Contribute to process improvements and development of programming standards using R.
• Minimum of 3 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.
• Write clean, efficient, and well-documented R code, conduct R code reviews, and R
programming validation.
• Strong proficiency in R programming, including data manipulation, statistical
analysis, and data visualization.
• Experience with POSIT Workbench, Connect, and/or Package Manager.
• Good to have python & SQL knowledge
• Develop library of reusable checks working closely with data engineers and config
specialists.
• Collaborate with cross functional teams in creating business rules and automated
check library across TAU.
• Serves as a technical resource for creating data analytics to help with data
validation and cleaning.
• Provide programming expertise for data cleaning to efficiently ensure high quality
data.
• Ensure accurate delivery by creating macros for Standard listings for the
department based on specifications.
• Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor
and internal programming requests.
• Ability to set up and configure analytics for coding reports, safety review and any
risk-based monitoring activities.
• Operational experience in pharmaceutical drug development with significant direct
exposure to clinical development and data operations required for the reporting of
clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.)
• Understanding of regulatory requirements and relevant data standards; CDISC
knowledge and experience are preferable.