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Computer Science Bioinformatics Jobs in Los Angeles, CA

Moffitt

APPLIED POST DOC FELLOW

Long Beach, CA · On-site

$51K - $69K/yr

D. in Computer Science, Bioinformatics, Biostatistics or a related field. How to Apply: Applicants should send a cover letter, a brief personal statement, current CV and contact information of three ...

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Computer Science Bioinformatics information

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How much do computer science bioinformatics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for computer science bioinformatics in Los Angeles, CA is $46.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $46.35 per hour, depending on experience, location, and employer.

What is a computer science bioinformatics?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What are some typical daily responsibilities for someone working in computer science bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in computer science bioinformatics, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What are popular job titles related to Computer Science Bioinformatics jobs in Los Angeles, CA?

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The top searched job categories for Computer Science Bioinformatics jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Computer Science Bioinformatics jobs?

Cities near Los Angeles, CA with the most Computer Science Bioinformatics job openings:

Computer Science Bioinformatics jobs near you
Infographic showing various Computer Science Bioinformatics job openings in Los Angeles, CA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $95,898 per year, or $46.1 per hour.

Research Bioinformatician I - Guerin Children's - Klein Lab - Full-Time

Cedars Sinai

Los Angeles, CA • On-site

$72K - $123K/yr

Full-time

Posted 23 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

42nd of 1,065 rated hospitals

Job description


Principal Investigator, Ophir Klein, MD, PhD, is seeking a Research Bioinformatician I to join the team!
The Research Bioinformatician I (RBI) performs general bioinformatics analysis and software support for projects involving in omics. The RBI manages omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats.
The RBI assists in development, testing, and maintenance of modular software pipelines, provides daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications.
What are the primary duties and responsibilities?
  • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers.
  • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data.
  • Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences.
  • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats.
  • Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology.

Qualifications
Education & Experience Requirements:
  • Bachelor's Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with concentration in bioinformatics) required. Master's Degree preferred.
  • No experience required. Three (3) years of experience in research environment preferred.
  • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment preferred.
  • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus.
  • Experience with nucleic acids methods strongly desired.

About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 915 licensed beds, 2,993 physicians, 4,700+ nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

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