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Overnight Bioinformatics Computational Biology Jobs in Riverside, CA

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

$70K - $85K/yr

Degree in computational biology, bioinformatics, computer science or similar. * Experience analyzing complex multi-omic datasets, including human or single cell data. * Experience implementing, and ...

GATC Health

Bioinformatics Analyst - CA

Irvine, CA · On-site

Required : • Degree in computational biology, bioinformatics, computer science or similar. • Experience analyzing complex multi-omic datasets, including human or single cell data. • Experience ...

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All JobsBioinformatics Computational Biology JobsOvernight Bioinformatics Computational Biology JobsOvernight Bioinformatics Computational Biology Jobs in Riverside, CA

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$9

$32

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How much do overnight bioinformatics computational biology jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for overnight bioinformatics computational biology in Riverside, CA is $32.60, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $52.64 per hour, depending on experience, location, and employer.

What is an overnight bioinformatics computational biology job?

Overnight Bioinformatics Computational Biology jobs involve analyzing biological data, such as genetic sequences, using computational tools and algorithms during overnight shifts or outside typical business hours. These roles are critical for organizations that operate around the clock, such as hospitals, research facilities, or biotech companies. Professionals in these positions process and interpret large datasets, develop or use software for data analysis, and often collaborate with other scientists to advance research projects. Working overnight may also involve real-time monitoring of experiments or providing timely data analysis support for ongoing studies.

What are the key skills and qualifications needed to thrive as an overnight bioinformatics computational biologist?

To thrive as an Overnight Bioinformatics Computational Biologist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics or computational biology. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency in handling large-scale genomic datasets are typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during off-hours are crucial soft skills for this position. These competencies ensure accurate data analysis, timely project completion, and effective collaboration even in non-traditional work schedules.

What are the unique challenges and benefits of working an overnight shift in a bioinformatics computational biology role?

Working overnight in a Bioinformatics Computational Biology position often involves managing time-sensitive analyses, such as processing large-scale sequencing data for next-day results. The quieter hours can provide fewer interruptions, enabling deeper focus on complex computational tasks. However, adapting to a nocturnal schedule can be challenging and may require proactive strategies to maintain work-life balance and effective communication with daytime colleagues. Many organizations support overnight staff with flexible schedules and robust collaboration tools, ensuring continuous workflow and integration with the broader team.

What is the difference between Overnight Bioinformatics Computational Biology vs Bioinformatics Analyst?

AspectOvernight Bioinformatics Computational BiologyBioinformatics Analyst
CredentialsTypically requires a Master's or PhD in Bioinformatics, Computational Biology, or related fieldsUsually requires a Bachelor's or Master's in Bioinformatics, Biology, or related disciplines
Work EnvironmentOften involves overnight shifts in research labs or biotech companies, focusing on data analysis and pipeline developmentPrimarily office-based, working regular hours on data interpretation, reporting, and collaboration
Industry UsageCommon in research institutions, biotech firms, and pharmaceutical companies with 24/7 operationsWidely used across healthcare, research, and biotech sectors for data analysis and project support

Overnight Bioinformatics Computational Biology roles focus on working overnight shifts to analyze large biological datasets, often requiring advanced degrees. Bioinformatics Analysts typically work regular hours, concentrating on data interpretation and reporting. Both roles are essential in biotech and research industries but differ mainly in work hours and specific responsibilities.

What are the most commonly searched types of Bioinformatics Computational Biology jobs in Riverside, CA?

The most popular types of Bioinformatics Computational Biology jobs in Riverside, CA are:

What are popular job titles related to Overnight Bioinformatics Computational Biology jobs in Riverside, CA?

For Overnight Bioinformatics Computational Biology jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Overnight Bioinformatics Computational Biology jobs in Riverside, CA look for?

The top searched job categories for Overnight Bioinformatics Computational Biology jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Overnight Bioinformatics Computational Biology jobs?

Cities near Riverside, CA with the most Overnight Bioinformatics Computational Biology job openings:

Overnight Bioinformatics Computational Biology jobs near you
Infographic showing various Overnight Bioinformatics Computational Biology job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $67,812 per year, or $32.6 per hour.

Bioinformatics Analyst - CA

GATC Health

Irvine, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
 
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
 
Roles and Responsibilities
  • Prep and Process data through GATC platform based on customer or internal end user requirements.
  • Implement primary and secondary analysis tools for GATC’s assays.
  • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
  • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
  • Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Role Requirements
  • Degree in computational biology, bioinformatics, computer science or similar.
  • Experience analyzing complex multi-omic datasets, including human or single cell data.
  • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
  • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
  • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
  • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Role Preferences
  • Experience using or interfacing with machine learning algorithms.
  • Experience analyzing and interpreting large-scale human or single cell datasets.
  • Experience with professional software development methods and tools in a team environment.
  • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
  • Experience working with collaborators, including lab scientists on multi-omic method development.
  • Experience visualizing scientific datasets and results.
  • Experience using cloud computing environments.
  • Computational biology and bioinformatics innovation.
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.