AutoGenomics, Inc., a privately held company based in Vista, CA has developed one of the first automated microarray based multiplexing molecular diagnostic platforms that can be used to assess disease signatures with novel genetic biomarkers in the areas of women's health, cancer and personalized medicine. With discovery of genes and their link to various disease states the platform has the versatility to revolutionize the way patients are diagnosed, monitored and managed, leading to a new era of personalized medicine.Founded in 1999, AutoGenomics is an established company that loves to hire graduates from California State University - San Marcos, with 12.0% of its employees having attended California State University - San Marcos. AutoGenomics has established itself as a great place to work in California, and it is number 19 on Zippia's list of Best Companies to Work for in Vista, CA.The average employee at AutoGenomics makes $48,505 per year. Pay at AutoGenomics is significantly lower than some of its highest paying competitors, like Spacelabs Healthcare, Molecular Devices, and PerkinElmer, which pay $96,851, $85,783, and $85,448, respectively.AutoGenomics is a small health care company based in Vista, CA with only 100 employees and an annual revenue of $23.0M.
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The founders of AutoGenomics are Fareed Kureshy, Ramanath Vairavan and Shelley Singh.
The key people at AutoGenomics are Fareed Kureshy, Ramanath Vairavan and Shelley Singh.
Key people
Fareed Kureshy
Ramanath Vairavan
Shelley Singh
AutoGenomics rankings
AutoGenomics is ranked #19 on the Best companies to work for in Vista, CA list. Zippia's Best Places to Work lists provide unbiased, data-based evaluations of companies. Rankings are based on government and proprietary data on salaries, company financial health, and employee diversity.
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AutoGenomics diversity
9.2
Diversity score
We calculated AutoGenomics’s diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of AutoGenomics’s workforce.
AutoGenomics diversity summary. Zippia estimates AutoGenomics's demographics and statistics using a database of 30 million profiles. Zippia verifies estimates with BLS, Census, and current job openings data for accuracy. We calculated AutoGenomics's diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of AutoGenomics's workforce.
AutoGenomics has 100 employees.
41% of AutoGenomics employees are women, while 59% are men.
The most common ethnicity at AutoGenomics is White (38%).
29% of AutoGenomics employees are Asian.
20% of AutoGenomics employees are Hispanic or Latino.
The average employee at AutoGenomics makes $48,505 per year.
Employees at AutoGenomics stay with the company for 5.0 years on average.
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AutoGenomics financial performance
9.6
Performance score
Highest paying AutoGenomics competitors
Compare AutoGenomics salaries to competitors, including Spacelabs Healthcare, Molecular Devices, and PerkinElmer. Employees at Spacelabs Healthcare earn the highest average yearly salary of $96,851. The salaries at Molecular Devices average $85,783 per year, and the salaries at PerkinElmer come in at $85,448 per year.
Rank
Company
Average salary
Jobs
1
$96,851
0
2
$85,783
0
3
$85,448
0
4
$76,167
0
5
$72,821
0
6
$72,233
0
7
$71,414
0
8
$66,594
0
9
$58,156
0
10
$45,837
0
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Zippia gives an in-depth look into the details of AutoGenomics, including salaries, political affiliations, employee data, and more, in order to inform job seekers about AutoGenomics. The employee data is based on information from people who have self-reported their past or current employments at AutoGenomics. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by AutoGenomics. The data presented on this page does not represent the view of AutoGenomics and its employees or that of Zippia.
AutoGenomics may also be known as or be related to AUTOGENOMICS INC, AutoGenomics, AutoGenomics, Inc., Autogenomics and Autogenomics, Inc.