The common responsibilities for this position include contributing to collaborative research projects on global health and precision medicine, gathering and curating massive data resources, developing new analytics, conducting post-marketing surveillance, performing data analysis using machine learning models, and collaborating with the research team to interpret and visualize results. The role also involves preparing reports, supporting data-related work, and contributing to academic publications and grant proposals. Additionally, the appointee is expected to manage data resources and perform general administrative duties.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position