Biological scientist Biological scientists
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Biologists' tasks show polarization: routine experiments and data analysis will be rapidly replaced by AI, but hypothesis generation and experimental design requiring disruptive creativity will be amplified. Entry-level roles narrow due to automation, while senior scientists enhance efficiency with AI tools.
More exposed than about 66% of occupations (percentile; higher = more exposed to AI)
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Partially replaced experimental work by biological scientists in protein structure prediction, such as X-ray crystallography and cryo-EM analysis tasks.
- Evo 2 Model Major 2025
Replaced biological scientists in some computational and experimental design tasks for genome sequence analysis, gene function prediction, and mutation effect assessment.
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Partially replaces bioscientists' repetitive work in literature search, information extraction, and writing paper reviews.
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Largely replaced biological scientists in manual microscope inspection, cell phenotype classification, and data analysis in drug screening.
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Partially replaces experimental operations and basic sequence analysis in DNA/RNA sequencing by biological scientists, especially for on-site rapid testing.
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Has largely replaced traditional trial-and-error experiments such as molecular design, target discovery, and efficacy prediction in drug chemistry by bioscientists.
- Standardized molecular cloning, PCR, and other lab procedures (performed by automated lab platforms)
- Large-scale genomic/proteomic data comparison and annotation (performed by AI algorithms)
- Literature review and meta-analysis (extracting key information automatically using natural language processing)
- Routine microscope image classification (e.g., cell counting, phenotype recognition)
- Experiment protocol optimisation and reagent inventory management (smart scheduling system)
- Hypothesis generation: AI analyzes vast literature and databases to recommend novel research paths
- Multi-omics data integration: AI correlates genomics, transcriptomics, proteomics data to discover biomarkers
- Complex experiment design: AI simulates experimental conditions, predicts results, and reduces trial and error.
- Personalized medical plans: AI-assisted treatment strategies based on patient multimodal data
- Scientific writing assistance: AI-generated drafts, charts to boost paper output efficiency
- Ability to propose original scientific questions and disruptive hypotheses
- Creativity in designing novel experiments to verify unknown mechanisms.
- Interdisciplinary integration and insight into industry pain points (e.g., agricultural stress resistance).
- Ethical judgment and public policy recommendations (e.g., gene editing compliance)
- Reputation building and academic community network maintenance
- Machine learning basics (scikit-learn, TensorFlow)
- Bioinformatics tools (Python/R, Galaxy platform)
- Data visualization and explainable AI techniques.
- Operation of automated laboratory systems (e.g. liquid handling workstations)
- Ethics and compliance (e.g., biosecurity regulations)
- Cross-disciplinary communication (translating biological problems into computational models)
Entry-level roles such as lab technicians and junior data processing jobs are declining as AI can automate standardized tasks like library screening and gene sequence alignment. However, graduates with AI tools and interdisciplinary knowledge still have opportunities, with competition shifting from operational skills to problem-definition abilities.
Shift from 'wet-lab executor' to 'AI-guided research architect'—use AI tools to automate low-level experiments, focusing on systems biology modeling and precision therapeutic target discovery. Requires programming and data science skills, plus the combined ability to transform biology problems into mathematical/computational models. Over the next decade, AI-savvy bioscientists will be innovation core.
Local data by country
Ratings · Overall 6.5/10
Salary
| Experience | Annual (GBP) | |
|---|---|---|
| 薪资中位数 | £45,382 ~ £45,382 | 全职年薪 gross 中位数（来源：ONS ASHE 2025，SOC 4位） |
| Entry level (0–3 years) | £25,000 ~ £32,000 | Research Assistant or Technician |
| Mid-level (4-7 years) | £32,000 ~ £45,000 | Senior Researcher or Postdoctoral Fellow |
| Senior (8+ years) | £45,000 ~ £65,000 | Chief Scientist or Academic Lecturer |
| 平均薪资 | £52,019 ~ £52,019 | 全职年薪 gross 均值（来源：ONS ASHE 2025，SOC 4位） |
Education Path
| Stage | Duration | Cost (GBP) |
|---|---|---|
| Bachelor's degree | 3 years | £9,250~£9,250 |
| Master's degree | 1 year | £15,000~£30,000 |
| Doctorate | 3-4 years | £0~£0 |
Qualifications
| Qualification | Issuer | |
|---|---|---|
| Honours bachelor degree in biology or related discipline | UK universities | Required |
| Doctoral degree (PhD) | UK universities | Optional |
Migration (to United Kingdom)
| Visa | Details |
|---|---|
| Skilled Worker Skilled Worker visa | Applicable to eligible positions with employer sponsorship; occupation code 2112 is on the eligible occupations list. |
| Global Talent Global Talent visa | For individuals with outstanding talent or potential in science, no employer sponsorship required |
| Graduate Graduate visa | Applicable to international students who complete a degree in the UK, allowing them to work for 2 years (3 years for PhD) after graduation |
Who it fits
- Strong curiosity about life sciences and passion for laboratory work
- Possess rigorous logical thinking and data analysis skills
- Aspiring to conduct scientific research in biotechnology, medicine, or environmental fields
- Dislikes long-term academic training and competitive pressure
- Prefer stable high income, unwilling to undertake research uncertainty
Career outlook
Junior researchers typically work as research assistants or postdocs, and with experience can advance to senior researcher or project leader. Some transition to industry (e.g., pharmaceuticals, biotechnology) as scientists or management roles, or enter academia as lecturers or professors.
Steady employment growth in the UK bioscience sector, especially in biotechnology, pharmaceuticals, and environmental consulting. Government R&D investment and bioeconomy strategy drive demand, but academic positions are highly competitive. Estimated 5-10% job growth from 2023-2033.
Growth areas：
BiotechnologyPharmaceutical R&DEnvironmental ScienceGenomics
FAQ
Data sources
Salary ranges are estimates aggregated from public listings on Indeed, Glassdoor, Reed and ONS ASHE (Annual Survey of Hours and Earnings); employment and demand outlook cite the Office for National Statistics (ONS) and HMRC PAYE data; visa and migration details follow the latest UK Visas and Immigration (UKVI) Skilled Worker, Global Talent, Health and Care, and Immigration Salary List rules. Figures are indicative only — always refer to the latest official sources.
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