- Low
- 81,349
- Average
- 105,045
- Median
- 107,390
- High
- 121,805
Gilead Sciences Associate Manager, Statistical Programming Salary
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46
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Gilead Sciences Associate Manager, Statistical Programming average salary is $105,045, median salary is $107,390 with a salary range from $81,349 to $121,805.
Gilead Sciences Associate Manager, Statistical Programming salaries are collected from government agencies and companies. Each salary is associated with a real job position. Gilead Sciences Associate Manager, Statistical Programming salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
Gilead Sciences Associate Manager, Statistical Programming salaries are collected from government agencies and companies. Each salary is associated with a real job position. Gilead Sciences Associate Manager, Statistical Programming salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
| Jobtitle | Company | Salary | City | Year |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 116,572 | SAN MATEO, CA, 94404 | 06/25/2015 |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 107,390 | SAN MATEO, CA, 94404 | 06/13/2016 |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 107,390 | SAN MATEO, CA, 94404 | 07/04/2016 |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 81,349 | SAN MATEO, CA, 94404 | 03/18/2017 |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 100,402 | SAN MATEO, CA, 94404 | 01/27/2017 |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 100,402 | SAN MATEO, CA, 94404 | 07/26/2017 |
| Associate Manager, Statistical Programming | Gilead Sciences | $ 121,805 | SAN MATEO, CA, 94404 | 02/02/2019 |
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Gilead Sciences Associate Manager, Statistical Programming 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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