Bioinformatics Technicians
SOC Code: 15-2099.01
Computer & MathematicalBioinformatics technicians apply principles and methods of bioinformatics to support scientists in areas such as pharmaceuticals, medical technology, environmental science, and forensics. With a median salary around $71,490, these technicians serve as the operational backbone of computational biology laboratories—running analytical pipelines, maintaining databases, processing samples through standardized bioinformatics workflows, troubleshooting technical issues, and ensuring that data processing infrastructure functions reliably. While scientists design experiments and interpret results, bioinformatics technicians ensure the computational machinery that processes the data runs accurately and efficiently.
Salary Overview
Median
$71,490
25th Percentile
$52,440
75th Percentile
$101,920
90th Percentile
$154,140
Salary Distribution
Job Outlook (2024–2034)
Growth Rate
+4.0%
New Openings
300
Outlook
As fast as average
Key Skills
Knowledge Areas
What They Do
- Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
- Maintain awareness of new and emerging computational methods and technologies.
- Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.
- Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
- Participate in the preparation of reports or scientific publications.
- Write computer programs or scripts to be used in querying databases.
- Create data management or error-checking procedures and user manuals.
- Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
Tools & Technology
★ = Hot Technology (in-demand)
Education Requirements
Typical entry-level education: Bachelor's Degree
Related Careers
Top Career Pivot Targets
View all 31 →Careers with the highest skill compatibility from Bioinformatics Technicians.
A Day in the Life
A bioinformatics technician's morning might begin with checking the status of analysis jobs running on the computing cluster overnight—verifying that genome alignment pipelines completed successfully, noting any failed jobs that need resubmission, and staging output files for the scientists' review. The technician then processes the day's new sequencing data: checking quality metrics, demultiplexing samples from a pooled sequencing run, and launching the standardized variant calling pipeline. Mid-morning involves maintaining and updating the laboratory's database of analyzed samples—entering metadata, linking results files, and ensuring data organization follows the team's standards. A scientist requests help extracting specific data points from a large multi-omics dataset, and the technician writes SQL queries and Python scripts to filter and format the data as needed. Afternoon tasks include troubleshooting a software dependency conflict in the RNA-seq analysis environment, installing and testing a new version of a genome assembly tool, and documenting the pipeline changes in the team's wiki. The technician also backs up completed project data to long-term storage and archives raw sequencing files per the organization's data retention policy.
Work Environment
Bioinformatics technicians work in office and computing environments—at desks with workstations connected to computing clusters and cloud resources. The physical environment is comfortable and sedentary, with most work performed at a computer. University and hospital settings provide academic culture with flexible scheduling and educational opportunities. Pharmaceutical and biotech companies offer structured work environments with defined project deliverables and timelines. Government laboratories provide stable employment with standard hours. The work requires comfort with command-line interfaces, scripting, and troubleshooting technical problems—much of the day involves interacting with computers rather than biological materials. Collaboration is regular—technicians communicate with scientists about data needs, IT teams about infrastructure, and other technicians about workflows. Standard business hours are typical, though critical analysis deadlines or system maintenance may occasionally require extended hours. Remote work has become common since the work is entirely computational.
Career Path & Advancement
Bioinformatics technician positions typically require a bachelor's degree in bioinformatics, biology with computational coursework, computer science with biological focus, or a related quantitative field. Some technicians enter with associate's degrees supplemented by strong computational skills or relevant experience. Entry-level positions involve running established analytical pipelines, database maintenance, and data processing under scientist supervision. With experience, technicians take on more complex analytical tasks, pipeline development, and independent problem-solving. Career advancement leads to senior bioinformatics technician, bioinformatics analyst, or computational biology associate positions. With additional education (master's degree in bioinformatics or computational biology), technicians advance to bioinformatics scientist or data scientist positions with greater analytical independence. Some technicians specialize in scientific computing infrastructure, transitioning to bioinformatics systems administrator or research computing engineer roles.
Specializations
NGS pipeline technicians specialize in running and maintaining next-generation sequencing analysis workflows—from raw data quality control through alignment, variant calling, and annotation for various sequencing applications. Database administrators within bioinformatics groups manage biological databases—sample tracking systems, results repositories, and reference genome databases—ensuring data integrity and accessibility. Systems and infrastructure technicians focus on maintaining the computing hardware, software environments, and cluster systems that power bioinformatics analysis—managing Linux servers, job schedulers, and software installations. Clinical bioinformatics technicians support diagnostic laboratories by running validated variant analysis pipelines, generating clinical reports, and maintaining quality control documentation required for clinical laboratory accreditation. Visualization specialists create graphs, plots, genome browser configurations, and interactive dashboards that help biologists and clinicians understand computational results. Automation specialists develop and maintain scripts and workflows that standardize repetitive data processing tasks, reducing manual effort and ensuring reproducibility.
Pros & Cons
Advantages
- ✓Accessible entry with bachelor's degree into the growing genomics and computational biology field
- ✓Solid median salary of $71,490 with advancement potential through experience and additional education
- ✓Working in support of meaningful scientific research in medicine, drug development, and biological understanding
- ✓Remote work compatibility since all tasks are computational
- ✓Development of transferable computing skills applicable to IT, data engineering, and software careers
- ✓Diverse work environments available across academia, pharmaceutical companies, hospitals, and government labs
- ✓Growing demand as genomic technologies expand into more organizations and applications
Challenges
- ✗Support-oriented role may feel less intellectually autonomous than independent research scientist positions
- ✗Repetitive pipeline processing tasks can become monotonous without variety in analytical challenges
- ✗Career advancement into scientist-level positions typically requires graduate degrees
- ✗Constant need to maintain skills as bioinformatics tools, platforms, and best practices evolve quickly
- ✗Sedentary computer-focused work with associated ergonomic and health considerations
- ✗Some routine data processing tasks face automation pressure from pipeline platforms and cloud services
- ✗Organizational perception as technical staff rather than scientific contributors can limit influence and recognition
Industry Insight
The bioinformatics technician role is evolving as the field matures and data volumes continue growing exponentially. Cloud computing platforms (AWS, GCP, Azure) are supplementing or replacing traditional on-premise computing clusters, creating demand for technicians with cloud infrastructure skills. Containerization technologies (Docker, Singularity) and workflow management systems (Nextflow, Snakemake, CWL) are standardizing analysis environments and improving reproducibility—becoming essential tools for modern bioinformatics technicians. The explosion of single-cell and spatial transcriptomics data requires technicians who can manage larger and more complex datasets. Clinical bioinformatics applications are creating regulated environments where pipeline validation, quality control, and documentation rigor are paramount. The growing adoption of AI and machine learning in biological analysis means technicians who can implement and operationalize ML pipelines are increasingly valued. Demand for bioinformatics technicians continues growing as more organizations adopt genomic technologies, though some routine pipeline tasks face automation pressure.
How to Break Into This Career
A bachelor's degree in bioinformatics, biology, computer science, or a related field provides the educational foundation. Practical computing skills are the most critical differentiator: proficiency with Linux command line, scripting in Python or R, and basic SQL database operations should be demonstrable, not just coursework-level. Completing online bioinformatics tutorials and working through publicly available datasets (such as Galaxy Project training modules or Rosalind bioinformatics problems) builds practical skills. Familiarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, BED) and tools (samtools, bedtools, BLAST) demonstrates readiness. Understanding version control with Git is increasingly expected. The ability to install and troubleshoot bioinformatics software on Linux systems is a practical skill tested during many interviews. Prior laboratory experience—even as an undergraduate research assistant—provides biological context that makes computational work more meaningful. Internship or research assistant positions at universities, hospitals, or companies provide direct experience and professional references.
Career Pivot Tips
Bioinformatics technicians develop practical computing skills, data management expertise, and scientific domain knowledge that create several career transition opportunities. Moving into general IT systems administration or DevOps roles leverages the Linux administration, scripting, and infrastructure management skills—often at higher compensation in technology companies. Data engineering positions apply the pipeline development, data processing, and database management skills to broader data infrastructure challenges. Software quality assurance and testing roles value the systematic, detail-oriented approach and experience with validation and documentation that clinical bioinformatics demands. Research computing support positions at universities and research institutions—managing shared computing resources, user support, and software deployment—build on the technical infrastructure skills. With additional education (master's degree or focused online training), transition to data science or machine learning engineering is achievable. Technical writing for biotechnology companies applies the combination of technical understanding and documentation skills. Scientific instrument and software companies hire for technical support and application specialist positions where biological domain knowledge combined with computing skills creates strong candidacy.
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