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Temporary Bioinformatics Computational Biology Jobs

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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 ...

Nationwide Children's Hospital

Analyzes biological data using computational tools to extract meaningful insights and patterns for research and development purposes. Essential Functions: * Analyzes biological data to identify ...

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$49K

$203.5K

$400K

How much do temporary bioinformatics computational biology jobs pay per year?

As of Aug 8, 2026, the average yearly pay for temporary bioinformatics computational biology in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary bioinformatics computational biology, and why are they important?

To thrive as a Temporary Bioinformatics Computational Biologist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience in using bioinformatics tools like BLAST, and familiarity with database systems are typically required. Strong analytical thinking, attention to detail, and the ability to collaborate effectively are essential soft skills that distinguish top candidates. These skills enable accurate data analysis, efficient problem-solving, and productive teamwork, all critical for timely and high-quality research outcomes.

What types of projects or tasks can I expect to work on as a temporary bioinformatics computational biology?

In a temporary bioinformatics computational biology role, you'll typically support ongoing research projects by analyzing large-scale biological datasets, developing or modifying computational pipelines, and assisting with data visualization. You may work closely with principal investigators, lab scientists, and other bioinformaticians to interpret genomic, transcriptomic, or proteomic data. The role often involves troubleshooting software or analysis issues and adapting quickly to new tools or datasets, making strong communication and problem-solving skills essential. Temporary positions can provide valuable exposure to collaborative research environments and current bioinformatics methodologies.

What is a temporary bioinformatics computational biology?

A Temporary Bioinformatics Computational Biology position is a short-term role focused on using computational and statistical methods to analyze biological data, such as DNA sequences, proteins, or cellular processes. Individuals in this role typically work on specific research projects, data analysis tasks, or software tool development within academic, research, or biotech settings. These positions are often contract-based, supporting ongoing studies or filling in for permanent staff. Temporary roles provide valuable experience in applying computational techniques to solve biological problems and may serve as a stepping stone to permanent positions in the field.
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Temporary Bioinformatics Computational Biology jobs near you
Infographic showing various Temporary Bioinformatics Computational Biology job openings in the United States as of August 2026, with employment types broken down into 61% Full Time, 34% Part Time, 1% Temporary, and 4% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Senior Bioinformatics Software Engineer

Morpheus Group

Houston, TX

Full-time

Posted 9 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences