- Low
- 55,000
- Average
- 62,302
- Median
- 65,000
- High
- 65,944
Dna2.0 Salary
62
75
46
Dna2.0 average salary is $62,302, median salary is $65,000 with a salary range from $55,000 to $65,944.
Dna2.0 salaries are collected from government agencies and companies. Each salary is associated with a real job position. Dna2.0 salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
Dna2.0 salaries are collected from government agencies and companies. Each salary is associated with a real job position. Dna2.0 salary statistics is not exclusive and is for reference only. They are presented "as is" and updated regularly.
| Job Title | Salaries | City | Year | More info |
| Business Analyst | 65,564-65,564 | Melbourne, FL, 32901 | 2018 | Dna2.0 Business Analyst Salaries (1) Dna2.0 Melbourne, FL Salaries |
| Project Manager | 65,944-65,944 | Melbourne, FL, 32901 | 2017 | Dna2.0 Project Manager Salaries (1) Dna2.0 Melbourne, FL Salaries |
| Systems Analyst | 60,000-60,000 | Melbourne, FL, 32901 | 2015 | Dna2.0 Systems Analyst Salaries (1) Dna2.0 Melbourne, FL Salaries |
| Associate Project Manager | 55,000-55,000 | Melbourne, FL, 32901 | 2014 | Dna2.0 Associate Project Manager Salaries (1) Dna2.0 Melbourne, FL Salaries |
| Software Developers, Applications | 65,000-65,000 | Melbourne, FL, 32901 | 2013 | Dna2.0 Software Developers, Applications Salaries (1) Dna2.0 Melbourne, FL Salaries |
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Dna2.0 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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Dna2.0... Information
- DNA 2.0
- Industry: Biotech/Healthcare
- City: Menlo Park, CA
- DNA 2.0 was founded in early 2003 to exploit the synergy between a highly efficient gene synthesis process and new protein optimization technologies. The massive amounts of publically available genomic information can be condensed using our DeNovo Genes algorithm into mathematical rules on how proteins function. These rules are subsequently converted into physical entities using our efficient DNA-2-Go process.
