Skills
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Collects evidence, analyses patterns and prepares reports, maps or findings for research or professional decisions.
Epidemiologists study the origin, causes and spread of illness in people, using research data, statistics, laboratory or clinical information and preventive medicine knowledge.
In job descriptions, look for communicable diseases, research design, statistical analysis, disease prevention measures, clinical trials, laboratory tests, health policy advice, scientific papers and careful research data management.
Epidemiologists turn health observations into evidence about disease patterns. Work may include research design, data collection, statistical analysis, laboratory or clinical inputs, scientific papers and advice on preventive measures for health programmes or policy decisions.
Important skills include communicable disease knowledge, preventive medicine, research data management, statistics, clinical trial support and scientific writing. Specialisation may focus on virology, microbiology, genomics, immunology, outbreak analysis or long-term population health trends. Disease data, prevention questions and statistical evidence should be central in the assignment.
Pay context depends on the scale of studies, independence in statistical interpretation, responsibility for research data and influence on prevention advice. Roles tied to large programmes, clinical trials or policy briefings are usually compared differently from assistant analysis posts.
Progression can lead from study support and data analysis into principal research roles, public health programme design, specialist disease areas, research management or communication with policy makers. A strong path shows reliable methods, ethical handling and clear explanation of uncertainty.
When reading vacancies, check the data source, disease area, expected software, laboratory link, publication duties and audience for recommendations. Clarify whether the role is mainly academic research, surveillance, clinical support, health policy advice or prevention programme evaluation.
This guide is editorial career context. It is not official labour-market statistics or role-specific salary data.
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See occupations connected to this ESCO occupation in the official O*NET–ESCO mapping. The relationship type comes from the source and is not a ranking or recommendation.
O*NET relationships: 2
19-1041.00
Exact relationship
The official mapping treats the O*NET and ESCO occupations as closely equivalent.
Open in O*NET29-1229.01
Close relationship
The occupations are closely related, but the official mapping does not treat them as exact equivalents.
Open in O*NETThese relationships come from the official European Commission O*NET–ESCO crosswalk.
Relationship direction: O*NET occupation to ESCO occupation.
Several O*NET occupations can point to the same ESCO occupation, and one O*NET occupation can point to several ESCO occupations.
AltoTrail preserves the source relationship type. The order is technical and does not show which occupation is best, most relevant or recommended.
AltoTrail validates and presents the source relationships without adding ranking or recommendation semantics.
biologist (2131.4)
| ESCO URI | http://data.europa.eu/esco/occupation/b73c752b-9858-4f53-82de-f3a340cbcae9 |
|---|---|
| ESCO code | 2131.4.7 |
| ISCO group | 2131 |
| Concept type | Occupation |