ZipRecruiter

Log In

1

Assistant Bioinformatics Computational Biology Jobs

next page

Showing results 1-20

All Jobscomputational biology Jobsbioinformatics JobsAssistant Bioinformatics Computational Biology Jobs

Assistant Bioinformatics Computational Biology information

See salary details

$33.5K

$48.3K

$63.5K

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

As of Aug 28, 2026, the average yearly pay for assistant bioinformatics computational biology in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is an assistant bioinformatics computational biology?

Assistant Bioinformatics Computational Biology professionals support research in biology by applying computational techniques to analyze and interpret biological data. They often assist in managing large datasets, developing and running software tools, and collaborating with researchers to solve biological problems. Their work is crucial in fields like genomics, proteomics, and drug discovery, where data analysis is essential. Typically, they have a background in biology, computer science, or a related field and work under the supervision of senior scientists.

What are the key skills and qualifications needed to thrive as an assistant bioinformatics computational biology?

To thrive as an Assistant in Bioinformatics and Computational Biology, you need a solid background in biology, statistics, and computer science, often backed by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages (like Python, R, or Perl), databases, and bioinformatics tools (such as BLAST, Galaxy, or Bioconductor) is typically required. Strong analytical thinking, attention to detail, and effective teamwork skills help you interpret complex data and collaborate on multidisciplinary projects. These skills are essential for accurately analyzing biological data, developing computational solutions, and advancing scientific research.

What are some common challenges faced by assistant bioinformatics computational biology professionals, and how can they be addressed?

Assistant Bioinformatics Computational Biology professionals often encounter challenges such as managing large, complex datasets and keeping up with rapidly evolving analytical tools. Collaborating effectively with interdisciplinary teams—including biologists, clinicians, and software engineers—can also be demanding, as it requires clear communication and an understanding of varied perspectives. To address these challenges, it's helpful to develop strong programming and data management skills, stay updated on current bioinformatics methods, and actively participate in team meetings to ensure alignment on project goals.

What cities are hiring for Assistant Bioinformatics Computational Biology jobs?

Cities with the most Assistant Bioinformatics Computational Biology job openings:

What are the most commonly searched types of Bioinformatics Computational Biology jobs?

The most popular types of Bioinformatics Computational Biology jobs are:

What states have the most Assistant Bioinformatics Computational Biology jobs?

States with the most job openings for Assistant Bioinformatics Computational Biology jobs include:

Assistant Bioinformatics Computational Biology jobs near you

Principal Computational Biologist

Kemio Consulting Ltd

Boston, MA • Hybrid

Full-time

Re-posted 16 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