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Bioinformatics Fungi Jobs (NOW HIRING)

... fungi and viruses (and corresponding genes and pathways) responsible for heath and disease ... Bioinformatic Analyses * Learn and apply state-of-the-art statistical and computational methods for ...

Bioanalyst

Frederick, MD · On-site

$75K - $84K/yr

Laboratory work involves the use and handling of pathogenic bacteria, viruses, parasites, and fungi ... Provide bioanalytic, biostatistics, and bioinformatics support to ongoing molecular research and ...

$48K - $65K/yr

... fungi and/or bacteria) * experience with R and/or other programming languages * familiarity with bioinformatics and modeling approaches for microbiome datasets * ability to bridge fields, including ...

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Bioinformatics Fungi information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics fungi jobs pay per year?

As of Jun 6, 2026, the average yearly pay for bioinformatics fungi in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Fungi Specialist, and why are they important?

To thrive as a Bioinformatics Fungi Specialist, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in bioinformatics, biology, or a related field. Proficiency with programming languages (such as Python or R), genomics databases, and bioinformatics tools like BLAST, QIIME, and genome assembly pipelines is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are vital for accurately analyzing fungal datasets and driving meaningful discoveries in research and applied biotechnology.

What are bioinformatics fungi specialists?

Bioinformatics fungi specialists are professionals who use computational tools and methods to analyze and interpret genetic and biological data related to fungi. Their work often involves sequencing fungal genomes, studying gene expression, and investigating the roles of fungi in health, disease, and the environment. They collaborate with biologists, mycologists, and software developers to uncover insights about fungal biology that can inform research in medicine, agriculture, and biotechnology. Their expertise is essential for understanding fungal species diversity, pathogenicity, and potential applications or threats.

What are some common challenges faced by bioinformatics professionals working with fungal data?

Bioinformatics professionals focusing on fungi often encounter challenges such as limited reference genomes, high genetic diversity among fungal species, and complex genome structures with repetitive elements. Additionally, fungal datasets may be less curated than those for model organisms, requiring more data cleaning and validation. Collaboration with mycologists and wet-lab scientists is essential for interpreting biological significance, and staying updated on specialized tools for fungal genomics can greatly enhance analysis quality.

What is the difference between Bioinformatics Fungi vs Bioinformatics Microbial?

AspectBioinformatics FungiBioinformatics Microbial
Required CredentialsBSc/MSc in Bioinformatics, Biology, or related fields; experience with fungal genomicsBSc/MSc in Bioinformatics, Microbiology, or related fields; experience with microbial genomics
Work EnvironmentResearch labs, academic institutions, biotech companies focusing on fungiResearch labs, biotech, and pharmaceutical companies working on microbes
Industry UsageFungal genomics, plant pathology, drug discoveryMicrobial genomics, infectious disease research, biotechnology
Common Search & ComparisonYesYes

Bioinformatics Fungi and Bioinformatics Microbial share similar educational backgrounds and work environments, but they focus on different organisms. Fungi specialists analyze fungal genomes for applications in agriculture and medicine, while microbial bioinformaticians work on bacteria, viruses, and other microbes for health and industrial purposes.

Bioinformatics Support Specialist

California Institute of Technology

Pasadena, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


California Institute Of Technology rating

9.9

Company rating: 9.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

1st of 532 rated colleges and universities


Job description

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.

Job Summary

The Ismagilov Lab at Caltech is hiring a full-time Bioinformatics Support Specialist for a 2-year term position. Reporting to Professor Rustem Ismagilov, the successful candidate will contribute to the lab's key projects and collaborations in human health, which include: developing novel tools that improve biological AI models by orders of magnitude; developing closed-loop systems that combine robotics and AI for rapid autonomous experimentation; discovering in human tissues novel bacteria, fungi and viruses (and corresponding genes and pathways) responsible for heath and disease; developing novel diagnostic approaches; understanding microbial origins of human diseases. Additional details about the lab can be found at http://ismagilovlab.caltech.edu/

Essential Job Duties
  • Assist graduate students, postdocs, and research staff with bioinformatics/computational components of all ongoing projects.
  • Contribute to manuscript preparation and grant proposals, data visualization, and scientific presentations.
  • A highly motivated and qualified candidate may additionally develop their own independent aspects of ongoing projects.
Bioinformatic Analyses
  • Learn and apply state-of-the-art statistical and computational methods for analyzing datasets from shotgun metagenomics, amplicon sequencing, and RNA-sequencing experiments.
  • Assist in the design, implementation, and benchmarking of in-silico experiments.
  • Generate computational results and publication-quality figures for clear communication of results to lab members and external collaborators.
Scripting and Automation
  • Collaborate with lab members and external colleagues to learn and implement best practice methods and packages for data analysis and processing in the lab.
  • Work with lab members to understand needed bioinformatic capabilities and develop tools to accomplish them.
  • Work with lab members and external collaborators to help them develop, execute, and maintain state-of-the-art data processing pipelines on Caltech high-performance computing (HPC) clusters.
  • Develop and maintain scripts for routine analysis tasks such as qPCR quantification.
  • Develop and maintain scripts for automated robotic platforms to perform laboratory procedures.
  • Help lab members test and integrate LLM-based AI tools to improve efficiency of research tasks such as experimental design and technical writing.
Bioinformatic Maintenance
  • Maintain well-organized computational workspaces, including data storage, version-control systems, containerization, and documentation in a neat, detailed electronic lab notebook.
  • Maintain reference databases of microbial genomes, gene clusters, antimicrobial resistance markers, and metabolic pathways.
  • Maintain organized and version-controlled repositories and containerized computational environments (Docker/Conda), using Python and/or R.
  • Assist with data management on remote computing clusters and back-up servers, including organizing raw and processed data, maintaining version control, and ensuring data integrity and reproducibility.
Basic Qualifications
  • Bachelor's degree in science with educational emphasis in computational sciences, bioinformatics, biology, microbiology, computer science, bioinformatics, computational biology, data science, or a related field required at time of application.
  • Experience with programming languages for scripting and data analysis: Python, R, and Bash required.
  • Familiarity with basic molecular biology topics.
  • Experience (including coursework or internships) in data analysis using at least one scripting or programming language (e.g., Python, MATLAB, R).
  • Experience working with next generation sequencing data and/or big data (e.g. genomics, RNA-seq, single-cell RNA-seq, epigenomics, proteomics, metabolomics, etc.).
  • Experience working in Linux/Unix environments.
  • Strong drive to learn and to make positive impacts on the lab and lab's mission.
  • Ability and desire to collaborate and support collaborative projects.
  • Highly detail-oriented; must have examples of well-documented code (e.g., Git repositories) involving complex technical tasks or data analyses available upon request.
  • Ability to rapidly learn technical skills, particularly in computational methods and bioinformatic workflows.
  • Strong organizational, time-management, and project-management skills; ability to professionally and continuously communicate priorities, workload, and current progress to all lab members.
  • Must be able to use sound judgment to handle multiple simultaneous tasks, prioritize effectively, and troubleshoot problems independently.
  • Must be able to work independently as well as part of a collaborative team in a dynamic, fast-paced environment.
  • Ability to write clean, well-documented, and reproducible code for data processing and analysis.
  • Ambition to develop research skills and advance scientific understanding through high-quality computational analyses and interpretation of biological data.
Preferred Qualifications
  • Experience with cloud computing environments (e.g., AWS, Google Cloud, or institutional equivalents) and using High-Performance Computing (HPC) clusters with the Slurm workload manager.
  • Experience performing bioinformatic analyses involving shotgun metagenomics, RNA sequencing, or 16S rRNA gene sequencing.
  • Experience with workflow management systems for pipeline automation (e.g., Snakemake, Nextflow).
  • Proficiency with Git for collaborative coding, project tracking, and version control.
  • Experience performing statistical analyses or modeling of complex biological datasets.
  • Experience with containerization (Docker, Conda, Singularity).
  • Experience creating visualizations or interactive notebooks (e.g., Jupyter, R Markdown, Dash).
  • Experience fine-tuning LLMs for analysis or writing tasks.
  • Co-authorship on a scientific publication.
  • Solid understanding of statistical analysis methods (NHST, probability distributions, etc.)
  • Ambition to pursue advanced training or career in computational biology, bioinformatics, ambition to enter a top medical or graduate school or a similar high-performance, high-impact environment in industry or academia.
Required Documents
  • Resume (describe relevant experiences and accomplishments).
  • Cover letter with specific examples demonstrating a) candidate's alignment with lab's mission, b) candidate's level of ambition, motivation, and drive; c) candidate's attention to detail and ability to produce data others can trust; d) the level of technical mastery of the top three most relevant experimental skills described in the resume.
  • GitHub (preferred) or code examples.
Hiring Range

$19.00 - $25.75 per hour
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time. Learn more about our benefits and staff perks.

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.
Caltech is a VEVRAA Federal Contractor.

To read more Equal Employment Opportunity (EEO) go to eeoc_self_print_poster.pdf.

Disability Accommodations

Caltech complies with the Fair Employment and Housing Act (FEHA) and the Americans with Disabilities Act (ADA). We consider reasonable accommodation measures that may be necessary for eligible applicants and employees to perform the essential functions of a position.

If you would like to request an accommodation to complete this application, interview, or otherwise participate in the employee selection process, please contact Caltech Recruiting at employment@caltech.edu.

Additionally, if you do not meet the basic qualifications of a role but believe you can perform the essential functions of the job with reasonable accommodation, please reach out to Caltech Recruiting at employment@caltech.edu.