Bioinformatics Technicians

Bioinformatics Analyst
Bioinformatics Specialist
Bioinformatics Technician
Biotechnician
Museum Informatics Specialist
Research Scientist
Scientific Informatics Analyst

What is a Bioinformatics Technician?

Bioinformatics Technicians are specialized professionals who work at the intersection of biology, computer science, and information technology. Their primary role involves managing and analyzing biological data, particularly genomic and proteomic information, to support research and development in fields such as genomics, drug discovery, and personalized medicine. These technicians utilize various computational tools and software to process and interpret large datasets generated from high-throughput sequencing technologies and other biological experiments. Additionally, they may assist in the development and maintenance of databases that store biological information and provide analytical support to researchers by generating reports, visualizations, and statistical analyses of biological trends. Bioinformatics Technicians play a crucial role in advancing our understanding of biological processes and diseases, contributing to the growing field of precision medicine and biotechnology.

Career Assessment
Job Outlook

Projected salary and job growth

$38400.0 - $155150.0

This career will grow rapidly in the next few years.

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Assessment

Related assessments and tests

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Career Assessment

Tasks

  • Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
  • Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
  • Maintain awareness of new and emerging computational methods and technologies.
  • Conduct quality analyses of data inputs and resulting analyses or predictions.
  • Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.

Technology Skills

Tools Used

Knowledge

  • Computers and Electronics

    Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.

  • Mathematics

    Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.

  • English Language

    Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.

  • Biology

    Knowledge of plant and animal organisms, their tissues, cells, functions, interdependencies, and interactions with each other and the environment.

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Avg Salary: R22,844pm

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Achieving Work-Life Balance as a Bioinformatics Technician in South Africa

In my experience navigating the intersection of biology and data science within the South African landscape, I’ve seen that the role of a Bioinformatics Technician is as demanding as it is rewarding. We occupy a unique niche, often acting as the bridge between wet-lab researchers and complex computational outputs. However, with the current market showing limited active vacancies and an average salary of around R22,844 per month, the pressure to "over-deliver" to maintain job security can be immense.

I’ve seen many talented technicians burn out early because they treat their work like a sprint rather than a marathon. In South Africa, where our research hubs in Cape Town, Johannesburg, and Pretoria are world-class but often under-resourced, finding that equilibrium isn’t just a luxury—it’s a necessity for professional longevity.

The Common Challenges We Face

One of the primary hurdles I’ve observed is the "always-on" nature of computational work. Because our "lab" is essentially a laptop or a remote server, there is a lingering temptation to check on a pipeline or a sequence alignment at 10 PM on a Sunday. I remember a former colleague who used to remote-access the university cluster during family braais, fearing that a crashed script would delay a publication. This blurred boundary is the quickest route to resentment of the field.

Furthermore, the industry norm in South Africa often involves small teams. You might be the only person in your unit who understands how to properly organise a database or troubleshoot a Python script. This "silo effect" can lead to a feeling of being indispensable, which sounds flattering but actually makes it very difficult to take leave without feeling guilty.

Coping Strategies and Industry Norms

To survive and thrive, I’ve found that you must be intentional about your boundaries. Here are a few strategies I’ve seen work effectively:

  • The "Server Shutdown" Rule: Unless you are running a critical, time-sensitive diagnostic for a public health crisis (like we saw during the peak of genomic surveillance), your scripts can usually run overnight without you watching them. I’ve realised that setting a hard log-off time at 5:30 PM significantly improves my mental clarity the following morning.
  • Physical Transition: Many of us work in hybrid environments. In my experience, the simple act of changing clothes or taking a short walk after finishing your last line of code helps signal to your brain that the "technician" is off-duty and the "person" is back.
  • Upskilling on the Clock: Given the competitive market, the urge to learn new tools like Nextflow or R Shiny is strong. Don't do this during your rest time. Negotiate with your PI or manager to allocate four hours a week during work hours for professional development.

"I once spent three weeks straight working until midnight to finish a metagenomics project for a private lab in Gauteng. By the end of it, I was making basic syntax errors that took another week to fix. I realised then that my tired brain was a liability, not an asset."

Practical Advice for the South African Context

If you are currently working in the field or looking to break in despite the current scarcity of roles, my recommendation is to focus on quality over quantity. With an average salary of R22,844, you want to ensure you are not just a "data processor" but a specialist. Use your work hours to automate repetitive tasks. If you can write a bash script to automate what used to take you five hours of manual labour, do not fill those five hours with more manual work—use them to breathe, learn, or contribute to higher-level analysis.

Also, remember the importance of community. Joining local groups like the South African Society for Bioinformatics (SASBi) can provide a support system of people who understand the specific frustrations of load shedding interrupting a 48-hour run or the nuances of local research funding.

Final Thoughts

Achieving balance in this field requires you to be as disciplined with your rest as you are with your data cleaning. We are lucky to work in a field that pushes the boundaries of science, but we must realise that our most valuable tool is a well-rested mind. Don't let the pressure of a tight job market force you into habits that compromise your health.

Are you curious if your current skills align with the evolving demands of the South African biotech sector?

Take our career assessment today to see where you stand and how to take the next step in your bioinformatics journey.


Skills

  • Reading Comprehension

    Understanding written sentences and paragraphs in work-related documents.

  • Active Learning

    Understanding the implications of new information for both current and future problem-solving and decision-making.

  • Active Listening

    Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.

  • Complex Problem Solving

    Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.

  • Critical Thinking

    Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.

Abilities

  • Written Comprehension

    The ability to read and understand information and ideas presented in writing.

  • Deductive Reasoning

    The ability to apply general rules to specific problems to produce answers that make sense.

  • Inductive Reasoning

    The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).

  • Oral Comprehension

    The ability to listen to and understand information and ideas presented through spoken words and sentences.

  • Information Ordering

    The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).

Education

How much education does a new hire need to perform a job in this occupation?

  • Bachelor's degree
    51 %
  • Master's degree
    41 %
  • Doctoral degree
    4 %

Work Activities

  • Working with Computers

    Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information.

  • Analyzing Data or Information

    Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts.

  • Processing Information

    Compiling, coding, categorizing, calculating, tabulating, auditing, or verifying information or data.

  • Getting Information

    Observing, receiving, and otherwise obtaining information from all relevant sources.

  • Updating and Using Relevant Knowledge

    Keeping up-to-date technically and applying new knowledge to your job.

Detailed Work Activities

  • Analyze operational or research data.
  • Develop computer or online applications.
  • Develop data analysis or data management procedures.
  • Maintain current knowledge related to work activities.
  • Enter information into databases or software programs.

Work Interests

  • Investigative

    Work involves studying and researching non-living objects, living organisms, disease or other forms of impairment, or human behavior. Investigative occupations are often associated with physical, life, medical, or social sciences, and can be found in the fields of humanities, mathematics/statistics, information technology, or health care service.

  • Conventional

    Work involves following procedures and regulations to organize information or data, typically in a business setting. Conventional occupations are often associated with office work, accounting, mathematics/statistics, information technology, finance, or human resources.

  • Realistic

    Work involves designing, building, or repairing of equipment, materials, or structures, engaging in physical activity, or working outdoors. Realistic occupations are often associated with engineering, mechanics and electronics, construction, woodworking, transportation, machine operation, agriculture, animal services, physical or manual labor, athletics, or protective services.

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This page incorporates data from O_NET OnLine, courtesy of the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), under the CC BY 4.0 license. O_NET is a registered trademark of USDOL/ETA. Assessify has adapted and modified the original content. Please note that USDOL/ETA has neither reviewed nor endorsed these changes.