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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: 2,800 Occupation code: 311499 (ANZSCO) Skilled migration occupation

Ratings · Overall 6.7/10

IncomeDemandProspectsPR FriendlyAI RiskCompetitionIntensityLearningDurationCertificationPR Difficulty

Salary

ExperienceAnnual (NZD)
薪资中位数$69,160 ~ $69,160周中位收入×52 年化(来源:Stats NZ 2025,ANZSCO 1位大类)
Entry level (0–3 years)$45,000 ~ $55,000Around 50,000 NZD on average
Mid-level (3–7 years)$55,000 ~ $70,000Depends on field and certification
Senior (7+ years)$70,000 ~ $90,000Supervisor or specialist position
平均薪资$74,204 ~ $74,204周均值×52 年化(来源:Stats NZ 2025,ANZSCO 1位大类)

Education Path

StageDurationCost (NZD)
Bachelor's degree3 years$30,000~$45,000
Master's degree1-2 years$35,000~$50,000

Qualifications

QualificationIssuer
Bachelor's degree in ScienceRecognised universityRequired
English language proficiency (IELTS 6.5)IELTSRequired

Migration (to New Zealand)

VisaDetails
SMC Skilled Migrant CategorySkilled migration requires 6 points (qualifications + work experience) with a New Zealand job offer
AEWV Accredited Employer Work VisaAccredited Employer Work Visa, common pathway; eligible for SMC after working for a certain number of years

Who it fits

✓ Fits
  • Enjoys laboratory work, meticulous and organized
  • Holds a Bachelor's degree in Science and wants to gain experience in New Zealand
  • Willing to start as a junior technician and gradually advance
✗ Not for
  • Dislikes repetitive experimental operations
  • Low English proficiency; cannot meet IELTS 6.5

Career outlook

Can progress from junior technician to senior technician or lab supervisor, or transition to roles in R&D, quality management, or sales engineering, requiring experience accumulation and professional certifications.

New Zealand's science and technology sector continues to grow, especially in biotechnology, environmental science, and food technology, with stable demand. However, competition is moderate, with many entry-level positions.

Growth areas:
Skilled Migrant CategoryAEWVSTEMResearch

FAQ

What is the typical salary for this occupation in New Zealand?
Annual salary for junior technicians: approx. NZD 4.5-5.5 million; intermediate: NZD 5.5-7 million; senior: up to NZD 7-9 million. Salary varies slightly by industry and region.
As a science and technology professional, is it easy to immigrate to New Zealand?
Can apply through Skilled Migrant Category (SMC), but not a Green List occupation; requires a New Zealand job offer and accredited employer support. Migration difficulty is moderate; it is recommended to accumulate over 2 years of experience.
Does this occupation have promotion opportunities?
Yes, you can advance from technician to senior technician, laboratory supervisor, or move into areas such as R&D and quality control. Continuous learning and obtaining professional certifications can help with promotion.

Data sources

Salary estimates on this page are compiled from publicly available ranges on Seek NZ, Trade Me Jobs, Glassdoor, PayScale, etc. Employment and demand forecasts reference Stats NZ and MBIE. Immigration information is based on Immigration New Zealand's Green List and latest skilled migration (SMC / AEWV) rules. Data is for reference only. Always refer to official sources for the most current information.

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