Asia-Pacific was the fastest growing region for machine learning hiring among healthcare industry companies in the three months ending March.
The number of roles in Asia-Pacific made up 20.8% of total machine learning jobs – up from 0% in the same quarter last year.
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That was followed by Europe, which saw a -6.2 year-on-year percentage point change in machine learning roles.
The figures are compiled by GlobalData, who track the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.
GlobalData's thematic approach to sector activity seeks to group key company information by topic to see which companies are best placed to weather the disruptions coming to their industries.
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By GlobalDataThese key themes, which include machine learning, are chosen to cover "any issue that keeps a CEO awake at night".
By tracking them across job advertisements it allows us to see which companies are leading the way on specific issues and which are dragging their heels - and importantly where the market is expanding and contracting.
Which countries are seeing the most growth for machine learning job ads in the healthcare industry?
The fastest growing country was Malaysia, which saw 0% of all machine learning job adverts in the three months ending March 2021, increasing to 2.8% in the three months ending March this year.
That was followed by Australia (up 2.8 percentage points), the United Kingdom (-1.5), and Germany (-4.6).
The top country for machine learning roles in the healthcare industry is the United States which saw 76.4% of all roles advertised in the three months ending March.
Which cities are the biggest hubs for machine learning workers in the healthcare industry?
Some 25% of all healthcare industry machine learning roles were advertised in Dublin (United States) in the three months ending March.
That was followed by Nashville (United States) with 8.3%, Seattle (United States) with 8.3%, and Chicago (United States) with 5.6%.
