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Other scientific and technical professionals Science Technicians nec

A global AI analysis is below; pick a country for local salary, licensing and migration data.

Mixed

This occupation is mixed under AI influence: many repetitive experimental operations and data analysis will be automated, but complex sample handling, anomaly diagnosis, and equipment maintenance still require human judgment; overall jobs won't disappear but content will deeply transform.

AI Exposure Index (AIOE)
62 / 100

More exposed than about 62% of occupations (percentile; higher = more exposed to AI)

🤖 AI already replacing this job (tools / products / research / news)
  • LabVantage Platform Partial 2000

    Replaced tasks such as sample receiving, coding, storage tracking, and experimental data entry, freeing technicians from manually managing large volumes of sample information and experimental records.

  • Zapier Platform Partial 2012

    Replaces tedious tasks such as technicians copying experimental data from instruments to spreadsheets or statistical software, generating routine reports, and sending notifications.

  • Tableau Tool Partial 2015

    Replaces technicians' manual use of Excel or SPSS to create charts, calculate statistical indicators, and write preliminary analysis reports.

  • MATLAB Tool Partial

    Replacing manual coding of repetitive data analysis, signal processing, image analysis, and statistical modeling tasks by technicians.

  • DeepL Platform Partial 2017

    Replaces the need for technicians to translate foreign literature into their native language or write English reports for international projects, reducing reliance on professional translators.

  • GitHub Copilot Tool Partial 2021

    Replaces manual coding by technicians when writing Python or R data analysis scripts and automating lab equipment control scripts, improving programming efficiency.

⚠ Tasks AI will take over or replace
  • Repetitive sample preparation (weighing, dilution, centrifugation, etc.) completed by automated workstations
  • Standardized experiment data recording, organization, and preliminary analysis are automatically generated into reports by AI software.
  • Routine instrument calibration and quality control testing are performed by intelligent sensors and automated verification systems.
  • Literature search and initial experimental design assisted by AI generation
↑ Tasks AI will augment
  • AI data analysis tools improve experimental data processing efficiency, quickly identify abnormal patterns
  • Natural language processing systems assist in writing experiment reports and documents, reducing administrative time
  • Machine learning models predict optimal experimental parameters, shortening optimization cycles
  • AI image recognition technology assists in analyzing microscope and electron microscope images, improving accuracy
  • Automated workflow management platform coordinates multi-device collaborative experiments to increase throughput
🛡 Human moat
  • Design of pretreatment methods and troubleshooting for complex samples
  • On-the-spot judgment and solution adjustment in non-standard experimental scenarios
  • Cross-disciplinary problem-solving skills (e.g., combining chemistry, biology, engineering)
  • In-depth maintenance, repair, and custom modification of experimental equipment
  • Scientific innovation mindset: proposing new hypotheses, designing original experiments
Skills to build (next 5 years)
  • Python/R data analysis and automated scripting
  • Operation and programming of laboratory automation equipment (e.g., liquid handling workstations)
  • Machine learning basics and applications (anomaly detection, parameter optimization)
  • Data visualization and reporting automation tools (Tableau, Power BI)
  • AI-assisted literature mining and experimental design tools (e.g., DeepChem)
  • Cross-disciplinary communication skills (collaborating with data scientists and engineers)
Entry-level outlook

Entry-level positions (e.g., sample preparation, simple data recording) have a high risk of being replaced by AI tools and automation equipment, narrowing the entry threshold; however, new roles requiring AI-assisted analysis and automated equipment operation have emerged, demanding interdisciplinary skills.

🚀 How to level up in the AI era

Transition from technical support role to 'Automation Experiment Designer', learn programming and AI tools to automate routine processes; evolve towards 'Data-Driven Scientific Consultant', using AI to analyze complex data and provide experiment optimization suggestions. Advanced roles include AI Experiment Platform Manager or cross-domain expert (e.g., bioinformatics, materials informatics).

Local data by country

Overall: 6.7/10 Workforce: 12,000 Occupation code: 311499 (ANZSCO) Skilled migration occupation

Ratings · Overall 6.7/10

IncomeDemandProspectsPR FriendlyAI RiskCompetitionIntensityLearningDurationCertificationPR Difficulty

Salary

ExperienceAnnual (AUD)
薪资中位数$93,288 ~ $93,288全职周中位收入×52 年化(来源:ABS EEH May 2025,ANZSCO 4位)
Entry level (0–3 years)$50,000 ~ $65,000Full-time, including superannuation
Mid-level (3–6 years)$65,000 ~ $80,000Full-time, including superannuation
Senior (6+ years)$80,000 ~ $100,000Full-time, including superannuation
平均薪资$91,364 ~ $91,364全体雇员周均总现金×52 年化(来源:ABS EEH May 2025,ANZSCO 大类)

Education Path

StageDurationCost (AUD)
Diploma (Science or related field)2 years$20,000~$40,000
Relevant bachelor's degree3-4 years$30,000~$50,000

Qualifications

QualificationIssuer
Diploma in Science or Laboratory TechnologyTAFE or accredited institutionRequired
VETASSESS skills assessmentVETASSESSOptional
White CardSafeWork NSW, etc.Optional

Migration (to Australia)

VisaDetails
189 Skilled Independent VisaBased on occupation list, invitation via EOI
190 Skilled Nominated VisaRequires state nomination; some states require a local job offer
482 Temporary Skill Shortage VisaRequires employer sponsorship, can transition to 186
491 Skilled Work Regional VisaRegional state sponsorship, requiring living and working in a designated area

Who it fits

✓ Fits
  • Detail-oriented, enjoys hands-on work with instruments and experiments
  • Basic understanding of scientific principles, willing to work in a laboratory environment
  • Good record-keeping and communication skills, able to assist with team tasks
✗ Not for
  • Dislikes repetitive work or prolonged standing
  • Allergic or psychological discomfort with chemical or biological samples

Career outlook

Junior technicians can start as lab assistants, gain experience and advance to senior technician or lab supervisor, or move into quality control, R&D, or technical sales.

Australia has stable demand for science and technology workers, especially in medical diagnostics, environmental monitoring, and food science. Automation may affect some tasks, but complex analysis and quality control roles still need professionals.

Growth areas:
Healthcare diagnosticsEnvironmental monitoringFood safetyPharmaceutical R&D

FAQ

What are the salary levels for scientific and technical personnel?
Entry-level annual salary approx. AUD 50,000-65,000, mid-level AUD 65,000-80,000, senior AUD 80,000-100,000, depending on industry and region.
How can science and technology professionals migrate to Australia?
Typically via skilled migration (189/190) or employer sponsorship (482/186), requires VETASSESS assessment and meeting English requirements.

Data sources

Salary ranges are estimates aggregated from public listings on Seek, Indeed, Glassdoor and ERI SalaryExpert; employment and demand forecasts cite Jobs and Skills Australia (JSA) and the Australian Bureau of Statistics (ABS); visa and migration details follow the latest occupation lists from the Department of Home Affairs and the relevant assessing authorities. Figures are indicative only — always refer to the latest official sources.

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