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Overnight Bioinformatics Computational Biology Jobs

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site +1

Master's degree in Bioinformatics, Biostatistics, Computational Biology, Biological Sciences, Mathematics, Computer Science, Environmental Science, Microbiology, Molecular Biology, or related ...

Guidehouse

Bioinformatics Scientist

Bethesda, MD

$65K - $108K/yr

Master's Degree in Bioinformatics, Computational Biology, or a related discipline. * A minimum of TWO (2) years of experience working with large, multimodal single-cell datasets. * Proficiency in ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Master's degree in Bioinformatics, Biostatistics, Computational Biology, Biological Sciences, Mathematics, Computer Science, Environmental Science, Microbiology, Molecular Biology, or related ...

Guidehouse

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Master's Degree in Bioinformatics, Computational Biology, or a related discipline. * A minimum of TWO (2) years of experience working with large, multimodal single-cell datasets. * Proficiency in ...

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of relevant experience in industry. * Extensive hands-on experience processing and analyzing bulk and/or ...

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

As of Aug 15, 2026, the average hourly pay for overnight bioinformatics computational biology in the United States is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $50.48 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 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 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.
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Overnight Bioinformatics Computational Biology jobs near you
Infographic showing various Overnight Bioinformatics Computational Biology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $64,999 per year, or $31.2 per hour.

Computational Biology/Bioinformatician

Attaineo Search, Inc.

Baltimore, MD • On-site

Full-time

Re-posted 19 days ago

Job description


Position: Computational Biologist/Bioinformatician
Location: Baltimore, Maryland (Remote)
We are actively seeking a Computational Biologist/Bioinformatician to augment our R&D team. Our focus is on innovating advanced molecular diagnostics kits, devices, and methodologies for the analysis of biological data, reporting directly to the VP of Technology Development.
Key Responsibilities:
  • Pioneeringthe development of innovative software tools, algorithms, and analysispipelines to expedite the transition from concept to practical testing.
  • Leadingthe in-silico design and characterization of new molecular assays forinfectious diseases, leveraging qPCR and related technologies.
  • Supervisingthe conversion of extensive biological customer data into actionableinsights through data mining, advanced visualizations, and machinelearning.
  • Assistingthe R&D team in creating scripts for efficient calculations andproject management.
  • Directingthe company's overarching initiatives in the digitization of biology.

Requirements
  • Hold aMaster's or Ph.D. degree with a minimum of 3 years of relevant workexperience.
  • Possessextensive knowledge in computational biology or bioinformatics,mathematics, and computer programming.
  • Capabilityto work independently on complex and challenging projects.
  • Proficiencyin and a passion for data visualization and effective communication ofdata science findings.
  • Demonstrableexperience with data science toolkits, machine learning, statisticalmodeling, and tool development.
  • Solidunderstanding of developing ML and statistical models for real-worldapplications.
  • Strongprogramming skills in Python and/or R; familiarity with Rust is a plus.
  • Experiencewith Linux High Performance Computing (HPC) cluster is advantageous.

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