Bioinformatics Software Developer Salary in California
$10.9K - $17.8K
0% of jobs
$17.8K - $24.7K
0% of jobs
$24.7K - $31.6K
0% of jobs
$31.6K - $38.5K
0% of jobs
$38.5K - $45.4K
0% of jobs
$45.4K - $52.3K
0% of jobs
$52.3K - $59.2K
0% of jobs
$59.2K - $66.1K
0% of jobs
$66.1K - $73K
0% of jobs
$73K - $79.9K
0% of jobs
$81.7K is the 25th percentile. Wages below this are outliers.
$79.9K - $86.8K
100% of jobs
$10.9K
$89.3K
$87,834
/year
$42.23
/hour
Bioinformatics Software Developer Salary Comparison by Location
Nationwide
United States
$89,000
California
California
$87,834
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How much does a Bioinformatics Software Developer make in California?
As of Aug 19, 2026, the average annual pay for a Bioinformatics Software Developer in California is $87,834 a year.
Just in case you need a simple salary calculator, that works out to be approximately $42.23 an hour. This is the equivalent of $1,689/week or $7,319/month.
While ZipRecruiter is seeing salaries as high as $89,315 and as low as $10,856, the majority of Bioinformatics Software Developer salaries currently range between $87,300 (25th percentile) to $88,300 (75th percentile) with top earners (90th percentile) making $88,821 annually in California. The average pay range for a Bioinformatics Software Developer varies little (about 1000), which suggests that regardless of location, there are not many opportunities for increased pay or advancement, even with several years of experience.
California ranks number 50 out of 50 states nationwide for Bioinformatics Software Developer salaries.
To estimate the most accurate annual salary range for Bioinformatics Software Developer jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Bioinformatics Software Developer on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Bioinformatics Software Developer Jobs in California
We've identified 10 cities where the typical salary for a Bioinformatics Software Developer job is above the average in California in California. Topping the list is Berkeley, , with San Carlos, and South San Francisco, close behind in the second and third positions. South San Francisco, beats the average in California by $19,115 (21.8%), and Berkeley, furthers that trend with another $21,141 (24.1%) above the $87,834 average.
With these 10 cities paying on average above the average for California, the opportunities for economic advancement by changing locations as a Bioinformatics Software Developer appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 4% between Berkeley, and San Jose, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Bioinformatics Software Developer role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Berkeley | $108,975 | $52.39 |
San Carlos | $107,466 | $51.67 |
South San Francisco | $106,949 | $51.42 |
Mountain View | $104,991 | $50.48 |
Palo Alto | $104,885 | $50.43 |
San Francisco | $104,857 | $50.41 |
Stanford | $104,570 | $50.27 |
Sunnyvale | $104,454 | $50.22 |
Livermore | $104,395 | $50.19 |
San Jose | $104,307 | $50.15 |
What are Top 5 Best Paying Related Bioinformatics Software Developer Jobs in California
Analyzing similar jobs related to the Bioinformatics Software Developer job category in California, we found 5 that were relevant. However, none pay more than the $87834 state average for Bioinformatics Software Developer jobs.
Nevertheless Hypnosis, Molecular Engineering, or Psychology Postdoc may still be interesting positions to explore.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Hypnosis | $87,561 | $42.10 |
Molecular Engineering | $79,630 | $38.28 |
Psychology Postdoc | $53,543 | $25.74 |
Audiology Externship | $50,648 | $24.35 |
Msrc | $39,714 | $19.09 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
