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MichaelRimler committed Dec 1, 2023
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title: "User Development"
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## 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?

## How to Contribute

Contribute to the discussion here in GitHub Discussions:\
[How do you transform the traditional Statistical Programmer into the future Data Scientist?](https://github.com/phuse-org/OSTCDA/discussions/10-){target="_blank"}

## Guidance

- Provide your thoughts and perspectives

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

- Be respectful in this community

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