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Evolutionary Computing Jobs (NOW HIRING)

Senior Software Test Engineer

Los Altos, CA

$130.90K - $169.90K/yr

Company Description Computing is undergoing a monumental transition - to the cloud. This has led ... the evolutionary pace of cloud operations for online businesses the world over. MosaixSoft is ...

Senior Software Test Engineer

Los Altos, CA · On-site

$130.90K - $169.90K/yr

Company Description Computing is undergoing a monumental transition - to the cloud. This has led ... the evolutionary pace of cloud operations for online businesses the world over. MosaixSoft is ...

Enterprise Architect

Atlanta, GA · On-site

$66.25 - $85.50/hr

... computing, large-scale system design, security, data aggregation, user interface design; the list ... Evolutionary, Enterprise Fowler,... • Multi Cloud certified - Azure/AWS/GCP Engineering ...

$48.20K - $65.40K/yr

... evolutionary health framework. There will be a specific emphasis on applying advanced ... Experience developing reproducible pipelines and working in high-performance computing environments.

Senior Research Scientist

New York, NY · On-site

$107.80K - $137.30K/yr

... computing and large-scale genetic datasets. Postdoctoral research experience, including grant ... evolutionary genetics is preferred. Strong communication skills and the ability to work ...

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Evolutionary Computing information

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$11K

$57.4K

$95.5K

How much do evolutionary computing jobs pay per year?

As of Jun 1, 2026, the average yearly pay for evolutionary computing in the United States is $57,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Evolutionary Computing Specialist, and why are they important?

To thrive as an Evolutionary Computing Specialist, you need a solid background in computer science, mathematics, and algorithm design, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), machine learning frameworks, and optimization libraries is typically required. Strong analytical thinking, problem-solving abilities, and creativity are crucial soft skills that help in developing innovative solutions. These skills enable specialists to design and implement effective evolutionary algorithms that solve complex computational problems across various domains.

What are some common challenges faced when implementing evolutionary computing algorithms in real-world projects?

One of the main challenges in applying evolutionary computing algorithms is balancing computational cost with solution quality, as these algorithms can be resource-intensive and require careful parameter tuning. Additionally, translating theoretical models into scalable, real-world applications often involves customizing operators and fitness functions to suit specific domains. Collaboration with domain experts is crucial to accurately define objectives and constraints, and ongoing communication with software engineers ensures efficient integration into existing systems.

What is evolutionary computing?

Evolutionary computing is a branch of artificial intelligence that uses algorithms inspired by the process of natural selection to solve complex optimization and search problems. These algorithms, such as genetic algorithms, evolve solutions over time by mimicking biological mechanisms like mutation, crossover, and selection. Evolutionary computing is used in various fields, including engineering, economics, and robotics, to find solutions that might be difficult to obtain through traditional methods. It is especially useful for problems where the search space is vast and not easily navigable by conventional algorithms.

What is the difference between Evolutionary Computing vs Data Scientist?

AspectEvolutionary ComputingData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI or machine learningDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, tech companies, consulting firms
Industry UsageOptimization problems, evolutionary algorithms researchData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While both roles involve advanced computing techniques, Evolutionary Computing focuses on algorithms inspired by natural selection for optimization, whereas Data Scientists analyze data to extract insights and build predictive models. They often collaborate but serve different primary functions within tech and research industries.

More about Evolutionary Computing jobs
What cities are hiring for Evolutionary Computing jobs? Cities with the most Evolutionary Computing job openings:
What states have the most Evolutionary Computing jobs? States with the most job openings for Evolutionary Computing jobs include:
Infographic showing various Evolutionary Computing job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $57,380 per year, or $27.6 per hour.
Postdoctoral Scholar Research Associate

Postdoctoral Scholar Research Associate

University of Southern California

Los Angeles, CA • On-site

$70.30K - $96K/yr

Full-time

Posted 26 days ago


University Of Southern California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

93rd of 530 rated colleges and universities


Job description

A Postdoctoral Scholar Research Associate position is available in the lab of Dr. Charleston Chiang at USC. The Chiang lab utilizes cutting-edge analytic tools to address questions at the intersection of human medical and population genetics. In particular, we have a strong interest in using genomic data to understand the evolution and architecture of complex traits and the history of diverse human populations. These insights will be critical for future medical genetics studies and in practicing personalized medicine. The successful candidate will have substantial input in the nature and the direction of the ongoing research projects within the lab and will be encouraged to explore projects that broadly fit within the lab's research interests and funded R35 and R01 grants. These goals include learning about demographic history or natural selection from genetic variation data, or understanding genetic architecture and evolutionary history of complex traits in diverse populations. Opportunities are available for both method development as well as analysis of large-scale genotyping, next-generation sequencing, and multi-omic data in humans from diverse populations.
The candidate can be funded through multiple sources:
(1) R01: on the genetic history, statistical genetics and genetic epidemiology of metabolic traits of Pacific Island populations. Will have access to newly generated whole genome sequencing data and genome-wide array data.
(2) R01: on method development for statistical and population genetic applications based on the ancestral recombination graph (e.g. Tang and Chiang, AJHG 2025 or Fan et al. Nat Genet 2025).
(3) R35: broadly on the consequence of natural selection and demography on evolution of human traits, including expanding the framework to other population datasets such as Taiwan Biobank.
The candidate will also have access to data from Multiethnic Cohort (https://uhcancercenter.org/mec) and major biobanks, including new GWAS, WGS, and metabolomic data being generated.
Postdoc position is for 1-3 yrs depending on the career goals of the candidate. Position is extendable at the end of the initial appointment. There will be opportunities to transition to staff scientist position.
Candidates should have a Ph.D. in genetics, computer science, bioinformatics, computational biology, or a related field. Proficiency in one or more programming languages (e.g. python, C++, R, etc.) and in Unix-based computing environment is desirable, but not necessary. Experience in conducting human genetics or population genetics research and analyzing large genetic datasets is also a plus, but not necessary. Passion to learn about human genetic research and to perform rigorous research is a must.
Start date is flexible throughout 2026. The successful candidate is expected to be based in Southern California, but some level of working from home is possible. We are actively establishing a vibrant and respectful culture in the research group. See brief notes on how we are working towards this goal here: http://chianglab.usc.edu/resources.html
Interested candidates should submit a CV, a short (1 page) cover letter describing your research interests and fit within the lab, and contact information for 2-3 references. Potential applicants are encouraged to submit informal inquiries .
The annual base salary range for this position is $70,304 - $96,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety.
Postdoc position is for 1-3 yrs depending on the career goals of the candidate. Position is extendable at the end of the initial appointment. There will be opportunities to transition to staff scientist position.
Candidates should have a Ph.D. in genetics, computer science, bioinformatics, computational biology, or a related field. Proficiency in one or more programming languages (e.g. python, C++, R, etc.) and in Unix-based computing environment is desirable, but not necessary. Experience in conducting human genetics or population genetics research and analyzing large genetic datasets is also a plus, but not necessary. Passion to learn about human genetic research and to perform rigorous research is a must.
USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying.
We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email at uschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.
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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880