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Temporary 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 ...

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Temporary Bioinformatics Computational Biology information

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$49K

$203.5K

$400K

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

As of Aug 27, 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 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.

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 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.
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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 63% Full Time, 33% Part Time, 1% Temporary, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Principal Computational Biologist

Boston, MA • Hybrid

Kemio Consulting Ltd
See more jobs at Kemio Consulting Ltdexternal

Full-time

Re-posted 14 days ago

Job description

Principal Computational Biologist
Location: Boston, MA (Hybrid)
This is an exciting opportunity to join a clinical-stage biotechnology company developing first-in-class therapies through a novel understanding of biology. Working at the forefront of drug discovery, the organisation combines cutting-edge biology with computational science to speed up the development of new treatments for patients.
We are looking for a Principal Computational Biologist to lead the companies computational biology efforts. You’ll work alongside biologists and chemists using bioinformatics to drive drug discovery decisions and influence strategy. You will lead the design, execution and interpretation of complex bioinformatics analyses across multiple therapeutic programmes.
Key Responsibilities
  • Partner with scientists to design computational strategies that answer key biological questions.
  • Develop and implement bioinformatics pipelines for the analysis of multi-omics datasets.
  • Evaluate and introduce emerging analytical methods and technologies where appropriate.
  • Analyse RNAseq, proteomics, phospho-proteomics and whole genome sequencing data.
  • Integrate pathway databases, network resources and published literature to generate meaningful biological insights.
  • Present complex analyses in a clear and impactful way.
  • Lead bioinformatics workstreams from conception through to delivery.
  • Mentor junior team members.
What we are looking for:
  • PhD in Bioinformatics, Computational Biology, Genomics or a related field.
  • 4 or more years of post-PhD industry experience
  • Strong programming skills in Python and/or R.
  • Proficiency analysing bulk RNA-seq datasets.
  • Expertise in statistical analysis of transcriptomics and proteomics data, including differential expression and pathway analysis.
  • Experience integrating multi-omics datasets to answer biological questions.
  • Strong understanding of molecular biology and drug discovery.
  • Excellent communication skills with the ability to collaborate across multidisciplinary research teams.
  
This is a highly collaborative, hands-on role offering significant ownership and the opportunity to shape computational biology capabilities within a rapidly growing biotech, which you can grow with. Apply today to be considered.
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Keywords: Bioinformatics / Bioinformatician / computational biology / computational biologist / RNAseq / RNA-seq / transcriptomics / single cell / singlecell / multiomics / multi-omics / proteomics / genomics / drug discovery / biotech / biotechnology / lead / principal / leadership