- Low
- 100,000
- Average
- 122,470
- Median
- 118,000
- High
- 137,372
Amgen Biostatistical Programming Manager Salary
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70
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Amgen Biostatistical Programming Manager average salary is $122,470, median salary is $118,000 with a salary range from $100,000 to $137,372.
Amgen Biostatistical Programming Manager salaries are collected from government agencies and companies. Each salary is associated with a real job position. Amgen Biostatistical Programming Manager salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
Amgen Biostatistical Programming Manager salaries are collected from government agencies and companies. Each salary is associated with a real job position. Amgen Biostatistical Programming Manager salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
| Jobtitle | Company | Salary | City | Year |
| Biostatistical Programming Manager | Amgen | $ 100,000 | THOUSAND OAKS, CA, 91320 | 07/29/2013 |
| Biostatistical Programming Manager | Amgen | $ 105,470 | THOUSAND OAKS, CA, 91320 | 07/28/2016 |
| Biostatistical Programming Manager | Amgen | $ 114,634 | South San Francisco, CA, 94080 | 06/20/2017 |
| Biostatistical Programming Manager | Amgen | $ 114,634 | South San Francisco, CA, 94080 | 06/19/2017 |
| Biostatistical Programming Manager | Amgen | $ 137,371 | South San Francisco, CA, 94080 | 09/18/2018 |
| Biostatistical Programming Manager | Amgen | $ 118,000 | Thousand Oaks, CA, 91358 | 04/16/2018 |
| Biostatistical Programming Manager | Amgen | $ 137,371 | South San Francisco, CA, 94080 | 09/18/2018 |
| Biostatistical Programming Manager | Amgen | $ 137,372 | South San Francisco, CA, 94080 | 09/18/2018 |
| Biostatistical Programming Manager | Amgen | $ 137,372 | South San Francisco, CA, 94080 | 09/18/2018 |
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Amgen Biostatistical Programming Manager 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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