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The differences between clinical statistical programmers and applications 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 an applications developer takes usually requires 2-4 years. Additionally, an applications developer has an average salary of $89,205, 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 an applications developer are java, javascript, and C++.
| Clinical Statistical Programmer | Applications Developer | |
| Yearly salary | $83,894 | $89,205 |
| Hourly rate | $40.33 | $42.89 |
| Growth rate | -7% | 21% |
| Number of jobs | 77,290 | 279,877 |
| Job satisfaction | - | - |
| 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.
An application developer is responsible for creating program applications for devices based on clients' specifications and business needs. Application developers must have excellent knowledge of computer systems, as well as a strong command of programming languages to develop customized programs. Duties of an application developer also include running diagnostic tests to ensure the application's performance and stability, providing instruction manuals for reference, performing troubleshooting for any inconsistencies, upgrading design codes for optimization, and launching the application following the client's timetable.
Clinical statistical programmers and applications developers have different pay scales, as shown below.
| Clinical Statistical Programmer | Applications Developer | |
| Average salary | $83,894 | $89,205 |
| Salary range | Between $59,000 And $117,000 | Between $67,000 And $118,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | New Hampshire | Washington |
| Best paying company | Genentech | Meta |
| Best paying industry | Retail | Finance |
There are a few differences between a clinical statistical programmer and an applications developer in terms of educational background:
| Clinical Statistical Programmer | Applications 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 applications developers' demographics:
| Clinical Statistical Programmer | Applications Developer | |
| Average age | 47 | 39 |
| Gender ratio | Male, 67.0% Female, 33.0% | Male, 77.0% Female, 23.0% |
| 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, 4.4% Unknown, 4.8% Hispanic or Latino, 8.2% Asian, 29.9% White, 52.5% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 11% | 8% |