9  (-) User Development

9.1 How do you transform the traditional Statistical Programmer into the future Data Scientist?

The traditional Statistical Programmer/Analyst in pharmaceutical and vaccine development primarily fulfills their role using the SAS programming language to develop single-use scripts that read in data and create an output dataset or analysis display.

Many Data Scientists are:

• programmatically multilingual

• leverage open source tools

• are familiar with object-oriented languages

• develop code collaboratively with platforms such as GitHub

• version control code with technologies such as git

• are comfortable having code reviewed for functionality and good programming practice

• are familiar with good software development practices

• are familiar and comfortable with agile ways of working

How will we transform the traditional Statistical Programmer into the future Data Scientist?

9.2 How to Contribute

Contribute to the discussion here in GitHub Discussions:
How do you transform the traditional Statistical Programmer into the future Data Scientist?

9.3 Guidance

• Provide your thoughts and perspectives

• Provide references to articles, webinars, presentations (citations, links)

• Be respectful in this community