Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between clinical statistical programmers and software engineers 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 software engineer takes usually requires 2-4 years. Additionally, a software engineer has an average salary of $100,260, 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 software engineer are java, python, and software development.
| Clinical Statistical Programmer | Software Engineer | |
| Yearly salary | $83,894 | $100,260 |
| Hourly rate | $40.33 | $48.20 |
| Growth rate | -7% | 21% |
| Number of jobs | 77,290 | 339,938 |
| Job satisfaction | - | 3.5 |
| Most common degree | Bachelor's Degree, 59% | Bachelor's Degree, 73% |
| 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.
A software engineer is a computer science professional who is responsible for the development of information systems, designing and building computer systems software and applications software. They often prefer to call themselves as a software developer or computer programmer. They have substantial knowledge of programming languages, software development, and computer operating systems, and other technologies. They use these to turn a plan into a final output. They can create a design, test, and develop software based on the needs of their clients.
Clinical statistical programmers and software engineers have different pay scales, as shown below.
| Clinical Statistical Programmer | Software Engineer | |
| Average salary | $83,894 | $100,260 |
| Salary range | Between $59,000 And $117,000 | Between $73,000 And $136,000 |
| Highest paying City | San Francisco, CA | San Bruno, CA |
| Highest paying state | New Hampshire | California |
| Best paying company | Genentech | The Citadel |
| Best paying industry | Retail | Start-up |
There are a few differences between a clinical statistical programmer and a software engineer in terms of educational background:
| Clinical Statistical Programmer | Software Engineer | |
| Most common degree | Bachelor's Degree, 59% | Bachelor's Degree, 73% |
| Most common major | Statistics | Computer Science |
| Most common college | Columbia University in the City of New York | Harvard University |
Here are the differences between clinical statistical programmers' and software engineers' demographics:
| Clinical Statistical Programmer | Software Engineer | |
| Average age | 47 | 39 |
| Gender ratio | Male, 67.0% Female, 33.0% | Male, 78.0% Female, 22.0% |
| 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, 8.1% Asian, 34.0% White, 48.5% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 11% | 8% |