- Low
- 75,046
- Average
- 95,851
- Median
- 94,100
- High
- 119,454
Genentech Statistical Programmer Analyst Salary
63
50
70
Genentech Statistical Programmer Analyst average salary is $95,851, median salary is $94,100 with a salary range from $75,046 to $119,454.
Genentech Statistical Programmer Analyst salaries are collected from government agencies and companies. Each salary is associated with a real job position. Genentech Statistical Programmer Analyst salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
Genentech Statistical Programmer Analyst salaries are collected from government agencies and companies. Each salary is associated with a real job position. Genentech Statistical Programmer Analyst salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
| Jobtitle | Company | Salary | City | Year |
| Statistical Programmer Analyst | Genentech | $ 88,088 | South San Francisco, CA, 94080 | 04/14/2014 |
| Statistical Programmer Analyst | Genentech | $ 89,378 | South San Francisco, CA, 94080 | 11/03/2014 |
| Statistical Programmer Analyst | Genentech | $ 75,046 | South San Francisco, CA, 94080 | 11/03/2014 |
| Statistical Programmer Analyst | Genentech | $ 107,390 | South San Francisco, CA, 94080 | 06/01/2016 |
| Statistical Programmer Analyst | Genentech | $ 119,454 | South San Francisco, CA, 94080 | 08/17/2017 |
| Statistical Programmer Analyst | Genentech | $ 94,000 | South San Francisco, CA, 94080 | 05/31/2017 |
| Statistical Programmer Analyst | Genentech | $ 99,195 | South San Francisco, CA, 94080 | 08/07/2017 |
| Statistical Programmer Analyst | Genentech | $ 94,100 | South San Francisco, CA, 94080 | 03/27/2018 |
| Statistical Programmer Analyst | Genentech | $ 96,000 | South San Francisco, CA, 94080 | 10/01/2018 |
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Genentech Statistical Programmer Analyst salary is full-time annual starting salary. Intern, contractor and hourly pay scale vary from regular exempt employee. Compensation depends on work experience, job location, bonus, benefits and other factors.
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