Skip to main content

Data analyst, data engineer, machine learning engineer, data scientist: people working in the HealthTech field likely hear these terms often. But although they may appear interchangeable, these terms represent four very different roles within data that have differing impacts on an organisation.

In order for your HealthTech to reach its full potential, it needs to get serious about working with data. Recognising the differences between these four core roles is hugely important, and it will provide you with a greater understanding of how you should be framing your data team.

Download the infographic below for a breakdown of the four most distinguished roles in data.

Download Here

Leave a Reply

function wp_dereg_script_comment_reply(){wp_deregister_script( 'comment-reply' );} add_action('init','wp_dereg_script_comment_reply'); add_action('wp_head', 'wp_reload_script_comment_reply'); function wp_reload_script_comment_reply() { ?>

Please share your location to continue.

Check our help guide for more info.

share your location