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The differences between clinical statistical programmers and developers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 6-8 years to become a clinical statistical programmer, becoming a developer takes usually requires 2-4 years. Additionally, a developer has an average salary of $100,076, which is higher than the $83,894 average annual salary of a clinical statistical programmer.
The top three skills for a clinical statistical programmer include macro, data management and adam. The most important skills for a developer are javascript, python, and java.
| Clinical Statistical Programmer | Developer | |
| Yearly salary | $83,894 | $100,076 |
| Hourly rate | $40.33 | $48.11 |
| Growth rate | -7% | 21% |
| Number of jobs | 77,290 | 262,570 |
| Job satisfaction | - | 5 |
| Most common degree | Bachelor's Degree, 59% | Bachelor's Degree, 71% |
| Average age | 47 | 39 |
| Years of experience | 8 | 4 |
Clinical statistical programmers collect data, execute statistical analysis, and analyze data sets based on the needs of the clients or employers. The programmers use SAS programming for data set development and analysis during clinical trials. They integrate data for reports after statistical analysis or clinical research. The skills they need to develop include analytical thinking, attention to detail, research, and strategic planning. They should also need to know statistical programming in clinical research.
Developers are usually system or application developers in a company who work on specific projects related to networks or applications from conception to implementation. They attend planning sessions to ensure that the program is feasible. They are responsible for designing the system through coding and basic user interface design. They also work on troubleshooting any challenges that may be met at the testing stage of the program's development. They solve challenges and ensure that minimal problems will arise upon publishing the system or application. They also manage the evaluation to ensure that the program's goals are accomplished and that the end-users are satisfied with the results.
Clinical statistical programmers and developers have different pay scales, as shown below.
| Clinical Statistical Programmer | Developer | |
| Average salary | $83,894 | $100,076 |
| Salary range | Between $59,000 And $117,000 | Between $76,000 And $131,000 |
| Highest paying City | San Francisco, CA | - |
| Highest paying state | New Hampshire | Washington |
| Best paying company | Genentech | - |
| Best paying industry | Retail | Finance |
There are a few differences between a clinical statistical programmer and a developer in terms of educational background:
| Clinical Statistical Programmer | Developer | |
| Most common degree | Bachelor's Degree, 59% | Bachelor's Degree, 71% |
| Most common major | Statistics | Computer Science |
| Most common college | Columbia University in the City of New York | Massachusetts Institute of Technology |
Here are the differences between clinical statistical programmers' and developers' demographics:
| Clinical Statistical Programmer | Developer | |
| Average age | 47 | 39 |
| Gender ratio | Male, 67.0% Female, 33.0% | Male, 74.9% Female, 25.1% |
| Race ratio | Black or African American, 4.1% Unknown, 4.4% Hispanic or Latino, 7.2% Asian, 25.4% White, 58.7% American Indian and Alaska Native, 0.2% | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 29.8% White, 52.2% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 11% | 8% |