Dataforsker
Dataforskere bruger statistik, maskinlæring og andre avancerede metoder til at finde mønstre i sundheds- og plejedata og til at bygge modeller, der hjælper services med at planlægge, forudsige og forbedre plejen. Typiske opgaver omfatter prognoser for efterspørgsel, identifikation af patienter, der kan have gavn af tidlig støtte, og evaluering af virkningen af serviceændringer. De arbejder tæt sammen med klinikere og analytikere og sikrer, at modeller er gyldige, fair og bruges sikkert.
Denne tekst er oversat fra engelsk af en AI-assistent og er endnu ikke gennemgået af en modersmålstaler. Citater fra den britiske regerings kompetencerammeværk for digitale og datarelaterede fag (UK GDaD PCF) og fra ESCO står fortsat på engelsk.
- Familie
- Data
- Rolle i UK GDaD PCF
- Data scientist (Data)
- Erhverv i ESCO
- data scientist (ISCO-08 2511); statistician (ISCO-08 2120)
- På GitHub
- Roledokument · Roledata
Niveauer
| Lønramme | Rolleniveau | Niveau i UK GDaD PCF | Lønklasser i den britiske statsforvaltning | Point i jobvurderingen |
|---|---|---|---|---|
| 4 | Trainee-dataforsker | Trainee data scientist | AO/EO | 276 |
| 5 | Associeret dataforsker | Associate data scientist | EO/HEO | 350 |
| 6 | Dataforsker | Data scientist | HEO/SEO | 427 |
| 7 | Principal dataforsker | Principal data scientist | SEO/G7 | 507 |
| 8a | Ledende dataforsker | Lead data scientist | G7/G6 | 560 |
| 8b | Chef for datavidenskab | Head of data science | G7/G6 | 603 |
I en organisation inden for digital sundhed og pleje
- En model, der understøtter beslutninger om patienter, kan gøre skade, hvis den er forkert eller skæv, så modeller valideres på den befolkning, de skal bruges til, og vurderes for klinisk sikkerhed.
- Sundhedsdata afspejler ulige adgang til pleje, så modeller kan gentage eller forværre uligheder i sundhed, medmindre skævhed måles og imødegås for hver patientgruppe.
- Nogle modeller, såsom dem der understøtter diagnose eller behandling, kan være reguleret som medicinsk udstyr, og regulering af kunstig intelligens kan også gælde.
- Datavidenskab kræver ofte sammenkædede, detaljerede patientdata, så arbejdet foregår i sikre miljøer med pseudonymiserede data og et aftalt grundlag i informationsstyring.
- Klinikere og patienter har brug for at forstå og have tillid til en models resultater, så forklaring og kommunikation af usikkerhed på almindeligt sprog er vigtig.
Rollebeskrivelse i UK GDaD PCF
Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals.
In this role, you will:
- be inquisitive
- explore and visualise data
- make recommendations to address complex problems and to inform strategic and operational decision making
- use data ethically and appropriately
- be innovative and adaptable
- explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics
- find patterns in data and transform them into organisational insight
Erhverv og kompetencer i ESCO
ESCO opregner den viden og de kompetencer, som arbejdsgivere som regel har brug for (væsentlige) eller kan have brug for (valgfrie) til hvert erhverv. Brug dem som tjekliste til udviklingssamtaler.
data scientist
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Væsentlige kompetencer og viden (63)
Færdigheder og kompetencer
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- build recommender systems
- collect ICT data
- communicate with a non-scientific audience
- conduct research across disciplines
- deliver visual presentation of data
- demonstrate disciplinary expertise
- design database scheme
- develop data processing applications
- develop professional network with researchers and scientists
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
- establish data processes
- evaluate research activities
- execute analytical mathematical calculations
- handle data samples
- implement data quality processes
- increase the impact of science on policy and society
- integrate gender dimension in research
- interact professionally in research and professional environments
- interpret current data
- manage data collection systems
- manage findable accessible interoperable and reusable data
- manage intellectual property rights
- manage open publications
- manage personal professional development
- manage research data
- mentor individuals
- normalise data
- operate open source software
- perform data cleansing
- perform project management
- perform scientific research
- promote open innovation in research
- promote the participation of citizens in scientific and research activities
- promote the transfer of knowledge
- publish academic research
- report analysis results
- speak different languages
- synthesise information
- think abstractly
- use data processing techniques
- use databases
- write scientific publications
Viden
- data engineering
- data ethics
- data mining
- data models
- data science
- data visualisation software
- empirical analysis
- information categorisation
- information extraction
- mathematical modelling
- online analytical processing
- quantitative analysis
- query languages
- resource description framework query language
- scientific literature
- statistical modeling techniques
- statistics
- visual presentation techniques
Valgfrie kompetencer og viden (34)
Færdigheder og kompetencer
- apply blended learning
- create data models
- define data quality criteria
- design database in the cloud
- integrate ICT data
- make data-driven decisions
- manage ICT data architecture
- manage ICT data classification
- manage data
- perform data mining
- teach in academic or vocational contexts
- use spreadsheets software
Viden
- Hadoop
- LDAP
- LINQ
- MDX
- N1QL
- SPARQL
- XQuery
- business analytics
- business intelligence
- computational biology
- computer simulation
- data quality assessment
- digital curation
- healthcare analytics
- image recognition
- marketing analytics
- multidisciplinary research
- research design
- scientific computing
- social network analysis
- state estimation
- unstructured data
statistician
Statisticians collect, tabulate, and, most importantly, analyse quantitative information coming from a varied array of fields. They interpret and analyse statistical studies on fields such as health, demographics, finance, business, etc. and advise based on patterns and drawn analysis.
Væsentlige kompetencer og viden (50)
Færdigheder og kompetencer
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- apply scientific methods
- apply statistical analysis techniques
- communicate with a non-scientific audience
- conduct quantitative research
- conduct research across disciplines
- demonstrate disciplinary expertise
- develop professional network with researchers and scientists
- disseminate results to the scientific community
- draft scientific or academic papers and technical documentation
- evaluate research activities
- execute analytical mathematical calculations
- gather data
- identify statistical patterns
- increase the impact of science on policy and society
- integrate gender dimension in research
- interact professionally in research and professional environments
- manage findable accessible interoperable and reusable data
- manage intellectual property rights
- manage open publications
- manage personal professional development
- manage research data
- mentor individuals
- operate open source software
- perform data analysis
- perform project management
- perform scientific research
- process data
- promote open innovation in research
- promote the participation of citizens in scientific and research activities
- promote the transfer of knowledge
- publish academic research
- speak different languages
- synthesise information
- think abstractly
- write scientific publications
Viden
- data ethics
- data quality assessment
- data science
- mathematical modelling
- mathematics
- quantitative analysis
- research design
- scientific literature
- scientific research methodology
- statistical analysis system software
- statistical modeling techniques
- statistics
Andet
Valgfrie kompetencer og viden (35)
Færdigheder og kompetencer
- advise on financial matters
- advise on legislative acts
- analyse big data
- apply blended learning
- assist scientific research
- build predictive models
- carry out statistical forecasts
- conduct public surveys
- deliver visual presentation of data
- design questionnaires
- develop financial statistics reports
- develop scientific theories
- develop statistical software
- manage database
- manage quantitative data
- plan research process
- prepare lesson content
- present reports
- provide lesson materials
- teach in academic or vocational contexts
- use mathematical tools and equipment
- use spreadsheets software
- write research proposals
Viden
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.