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Explore work as a bioinformatics scientist: using programming, databases and statistics to analyse biological data.
Bioinformatics scientists study biological processes with computer programs. They maintain or build databases, analyse biological information and report research findings.
In job descriptions, look for biological data, genomics, database systems, statistical analysis, research protocols and cooperation with biotechnology, pharmaceutical or laboratory teams.
Bioinformatics scientist work starts with biological questions that need computational analysis. The role can include maintaining databases, collecting biological data, analysing DNA or genomic information, finding data patterns and reporting results. Good descriptions name the data type, research purpose, software environment and how findings support scientists in biotechnology, pharmaceutics or life sciences.
Useful strengths include biology, computational biology, programming, database management systems, genomics and statistical analysis. Research ethics, scientific methods and clear reporting matter because the work turns biological material into evidence that other scientists can review. Some roles lean toward laboratory data; others focus on pipelines, data quality or genetic research.
Pay context depends on the complexity of the biological data, responsibility for databases, independence in statistical analysis and the importance of the research findings. A role designing research protocols or interpreting genetic data carries different weight from one maintaining established datasets. Compare posts through scientific judgement, reproducibility and data responsibility.
Development can move toward senior bioinformatics analysis, genome research, data science, research protocol design or management of biological data systems. A strong next step deepens both biology and computation. Moving into generic software or generic laboratory work changes the profile if biological data analysis is no longer central.
Check whether a vacancy names DNA samples, biological databases, genomic data, statistical techniques, programming tools or research collaborators. Broad data language alone is not enough. The role should connect computation to biological processes and scientific reporting, not only to general database or software support.
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: 4
15-2099.01
Close relationship
The occupations are closely related, but the official mapping does not treat them as exact equivalents.
Open in O*NET19-1029.02
Close relationship
The occupations are closely related, but the official mapping does not treat them as exact equivalents.
Open in O*NET19-1029.01
Exact relationship
The official mapping treats the O*NET and ESCO occupations as closely equivalent.
Open in O*NET19-1029.04
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.
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Biologists, botanists, zoologists and related professionals (2131)
| ESCO URI | http://data.europa.eu/esco/occupation/68d973df-bf10-4bf7-9a1b-fbd9f604b9db |
|---|---|
| ESCO code | 2131.3 |
| ISCO group | 2131 |
| Concept type | Occupation |