The future of statistical programming recruitment lies in adaptability and expertise beyond SAS. As clinical trials become more complex, the demand for skills in automation, real-world evidence, and AI integration is rising. Companies must update their hiring strategies to ensure compliance and efficiency, focusing on programmers with the right hybrid skills. #StatisticalProgramming #ClinicalTrials #AI #Recruitment https://www.warmanobrien.com/resources/blog/top-5-skills-defining-statistical-programming-recruitment/
Top 5 Skills Defining Statistical Programming Recruitment

Biometrics recruitment is evolving. Discover the top statistical programming skills in demand for 2025 and how hiring managers can stay ahead.

The Tidy Trekker - Setting Intentions

As the fiasco that is the year 2020 comes to an end, I figured I’d set some intentions for the Tidy Trekker site moving forward.

The Tidy Trekker - I Participated in My First Tidy Tuesday! : Project Recap

I have always “hid in the shadows” with community challenges like this, but I took the leap and participated. Here’s a quick recap…

The Tidy Trekker - Ordering Months

A guide on ordering month “categories” chronologically and dealing with missing month data on a ggplot using Tidyverse packages and base R constants. This guide assumes that you understand how to load data into R, work with vectors, and are somewhat familiar with subsetting and ggplot2.

I'm a proud member of the #Phuse working group #CAMIS, which aims to tackle statistical analysis discrepancies across programming languages like #Sas, #R, and #Python. If you're considering a switch from Sas to open-source alternatives, check out our CAMIS repository for insights and solutions: https://psiaims.github.io/CAMIS/ #HealthTech #DataScience #StatisticalProgramming
CAMIS - A PHUSE DVOST Working Group

The Tidy Trekker - How I Became A “Not-Beginner” in R

Some thoughts I have on being a “Not-beginner” (Intermediate) R programmer/Data Scientist.

The Tidy Trekker - Tallying “Checkbox” Survey Responses: R Walkthrough

A guide on how to split up comma-separated survey responses in R using the grepl function in base R and various tidyverse packages . A common issue when processing “Checkbox” question types. This guide assumes that you understand how to load data into R, work with vectors, and work with basic control and loop functions.

The Tidy Trekker - Making My First Shiny App

This year was the first time that I ever competed in a RStudio Shiny competition by submitting my first ever Shiny app, the TarotreadR.

I wonder if it could be cool to describe it not as “machine learning” but as “stochastic programming” or “statistical programming”

#TagZone: #MachineLearning #AI #StochasticProgramming #StatisticalProgramming

Linear Regression Using R: An Introduction to Data Modeling

Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modelling techniques in an informal

PYOFLIFE