Datavetare
Dataforskare använder statistik, maskininlärning och andra avancerade metoder för att hitta mönster i hälso- och vårddata och bygga modeller som hjälper tjänster att planera, förutsäga och förbättra vården. Typiskt arbete är att prognostisera efterfrågan, identifiera patienter som kan ha nytta av tidigt stöd och utvärdera effekten av tjänständringar. De arbetar nära kliniker och analytiker och ser till att modeller är giltiga, rättvisa och används tryggt.
Den här texten har översatts från engelska av en AI-assistent och har ännu inte granskats av en modersmålstalare. Citat från ramverket för digitala och datarelaterade yrkesroller i Storbritanniens regering (UK GDaD PCF) och från ESCO står kvar på engelska.
- Familj
- Data
- Roll i UK GDaD PCF
- Data scientist (Data)
- ESCO-yrken
- data scientist (ISCO-08 2511); statistician (ISCO-08 2120)
- På GitHub
- Rolldokument · Rolldata
Nivåer
| Band | Rollnivå | Nivå i UK GDaD PCF | Grader inom Storbritanniens statsförvaltning | Poäng i arbetsvärdering |
|---|---|---|---|---|
| 4 | Dataforskare (trainee) | Trainee data scientist | AO/EO | 276 |
| 5 | Biträdande dataforskare | Associate data scientist | EO/HEO | 350 |
| 6 | Dataforskare | Data scientist | HEO/SEO | 427 |
| 7 | Principal dataforskare | Principal data scientist | SEO/G7 | 507 |
| 8a | Ledande dataforskare | Lead data scientist | G7/G6 | 560 |
| 8b | Chef för datavetenskap | Head of data science | G7/G6 | 603 |
I en digital hälso- och sjukvårdsorganisation
- En modell som stöder beslut om patienter kan orsaka skada om den är fel eller skev, så modeller valideras på den population de ska användas med och bedöms för klinisk säkerhet.
- Hälsodata speglar ojämlik tillgång till vård, så modeller kan upprepa eller förvärra ojämlikhet i hälsa om inte skevhet mäts och åtgärdas för varje patientgrupp.
- Vissa modeller, såsom sådana som informerar diagnos eller behandling, kan vara reglerade som medicintekniska produkter, och reglering av AI kan också gälla.
- Datavetenskap behöver ofta länkade, detaljerade patientdata, så arbetet sker i säkra miljöer, med pseudonymiserade data, på en överenskommen grund inom informationsstyrning.
- Kliniker och patienter behöver förstå och lita på en modells resultat, så förklaring och klarspråkskommunikation av osäkerhet är viktigt.
Rollbeskrivning 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
ESCO-yrken och färdigheter
ESCO förtecknar de färdigheter och kunskaper som arbetsgivare vanligen behöver (väsentliga) eller kan behöva (valfria) för varje yrke. Använd dem som checklista för utvecklingssamtal.
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.
Väsentlig färdigheter och kunskaper (63)
Färdigheter och kompetenser
- 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
Kunskap
- 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
Valfri färdigheter och kunskaper (34)
Färdigheter och kompetenser
- 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
Kunskap
- 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.
Väsentlig färdigheter och kunskaper (50)
Färdigheter och kompetenser
- 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
Kunskap
- 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
Övrigt
Valfri färdigheter och kunskaper (35)
Färdigheter och kompetenser
- 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
Kunskap
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.