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SAS+R Programming : Life Science : Apply Now @ Leading ITES Company

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 SAS+R Programming : Life Science : Apply Now

Job Description

Hi


We are looking to hire for SAS+R Programming. Please go through the JD and Apply


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.

To Apply WhatsApp 'Hi' @ 9151555*** and Follow the Steps Below:


a) For Position in Bangalore Search : Job Code # 375

b) For Position in Hyderabad Search : Job Code # 376


Job Classification

Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics,
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Leading ITES Company
Location(s): Hyderabad

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Keyskills:   Accenture SAS Programming Parexel R Programming GGPLOT Adams Cdisc Statistical Programming R Script Tidyverse IQVIA R Program R Clinical Sas Clinical SAS Programming

 Fraud Alert to job seekers!

₹ 18-30 Lacs P.A

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