Natural and Physical Science Professionals (Other) Other Professional Occupations in Natural and Physical Sciences
A global AI analysis is below; pick a country for local salary, licensing and migration data.
AI's impact on this occupation is mixed: basic data collection and report generation tasks are threatened by automation, but AI enhances complex modeling and interdisciplinary analysis capabilities; experimental design and regulatory compliance still require human judgment.
More exposed than about 66% of occupations (percentile; higher = more exposed to AI)
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It replaced the work of biologists and chemists in determining protein structures through experimental methods like X-ray crystallography, significantly reducing the time and cost of manual prediction and structure validation.
- ChemCrow Model Major 2023
It replaces some of the chemist's labor in repetitive tasks such as literature retrieval, synthesis route design, and experimental parameter optimization, reducing manual trial and error.
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It replaces the preliminary work of materials scientists and chemists in screening potential new materials through high-throughput experiments or first-principles calculations, predicting millions of stable crystals.
- AI for climate modeling Research Partial 2023
It replaces parts of the calculations and data analysis work of environmental scientists and meteorologists that traditionally relied on numerical weather prediction models, improving prediction efficiency.
- Automatically record experimental data and generate standard reports
- Basic chemical/biological sample analysis and classification
- Routine statistics and trend analysis of environmental monitoring data.
- Literature search and summary compilation
- Using AI models to accelerate drug molecule design and screening.
- Using machine learning to analyze complex environmental data (e.g., climate models)
- High-throughput experimental design and outcome prediction with AI assistance
- Automatically generate initial research paper drafts and charts
- Integrating multi-source data for ecosystem simulation
- Design novel experimental protocols and hypothesis testing
- Interpret abnormal patterns in unstructured, heterogeneous data
- Interdisciplinary problem definition and project leadership
- Ethical review and public communication
- Regulatory compliance judgment (e.g., EPA, CFIA standards)
- Python/R and machine learning libraries (e.g., scikit-learn, TensorFlow)
- Data visualization and interactive reporting tools (e.g., Tableau, Plotly).
- Operation and customization of laboratory automation systems (e.g., LIMS)
- Statistical Modelling and Design of Experiments (DOE)
- AI ethics and scientific explainability
- Cloud Computing and Big Data Processing (AWS/Azure)
Entry-level roles (e.g., lab assistant, data entry clerk) see significantly reduced demand due to automation tools handling routine testing and data analysis; however, the threshold for senior research roles remains unchanged, with added need for AI tool skills.
Recommend shifting from data-intensive research to AI-enhanced hybrid roles: master ML modeling and analysis, lab automation, and improve interdisciplinary collaboration and project management skills to qualify for positions such as Senior Research Scientist, AI Research Consultant, or Regulatory Science Specialist.
Local data by country
Ratings · Overall 6.7/10
Salary
| Experience | Annual (CAD) | |
|---|---|---|
| 薪资中位数 | $66,500 ~ $66,500 | 薪资中位数（估算：基于各经验档区间中值） |
| Entry level (0–3 years) | $45,000 ~ $55,000 | Laboratory assistant or junior researcher |
| Mid-level (4-7 years) | $58,000 ~ $75,000 | Independent researcher or project supervisor |
| Senior (8+ years) | $80,000 ~ $100,000 | Senior Scientist or Department Manager |
Education Path
| Stage | Duration | Cost (CAD) |
|---|---|---|
| Bachelor's degree | 4 years | $20,000~$40,000 |
| Master's degree | 2 years | $15,000~$30,000 |
| Doctorate | 5 years | $15,000~$30,000 |
Qualifications
| Qualification | Issuer | |
|---|---|---|
| Qualification recognition | WES/ICES etc. | Required |
| Language test | IELTS/CELPIP | Required |
| Professional licence | Canadian Scientific Certification Council | Optional |
Migration (to Canada)
| Visa | Details |
|---|---|
| EE Express Entry (FSW/CEC/STEM draws) | Through fast-track, especially STEM category draws, suitable for applicants with higher education and strong language skills. |
| PNP Provincial Nominee Program | Provincial nominations such as BC PNP Tech Pilot, Ontario Human Capital, requiring employer sponsorship or education. |
| AIP Atlantic Immigration Program | Atlantic Immigration Pilot, suitable for applicants with a job offer from an employer. |
Who it fits
- Bachelor's degree or higher in natural/physical sciences
- Willing to work in a laboratory or field setting
- English CLB7 or French NCLC7 or above
- Resistance to continuing education and obtaining certifications
- Seeking high-paying, fast-paced industries
Career outlook
Career paths can start as assistant researcher or technician, progressing to senior scientist, project supervisor, or lab manager. Some transition to policy analysis or sales, requiring ongoing study to stay competitive.
Demand in Canada's natural and physical sciences sector is stable, especially in environmental technology, biotechnology, and pharmaceuticals. Increased government research investment is expected to drive job growth, but requires employer matching or provincial nomination.
Growth areas：
STEM drawsProvincial NomineeEnvironmental TechBiotech
FAQ
Data sources
Salary estimates on this page are compiled from publicly available ranges on Job Bank, Indeed, Glassdoor, ERI SalaryExpert, etc. Employment and demand forecasts reference Statistics Canada and ESDC/Job Bank. Immigration information is based on IRCC's Express Entry and latest Provincial Nominee Program (PNP) rules. Data is for reference only. Always refer to official sources for the most current information.
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