Case study SMR: Computational Chemistry and Machine Learning Scientist to Gothenburg
At the start of February 2019 AstraZeneca was about to recruit a Senior Scientist with expertise in Computational Chemistry and Machine Learning, to join the Medicinal Chemistry Department within the Cardiovascular, Renal and Metabolism (CVRM) therapeutic area. The position was placed at AstraZenecas vibrant R&D site in Gothenburg, Sweden.
Talent Aquisition Partner Ulrica Marklund was in charge of the recruitment process and decided to activate Social Media Recruitment (SMR) on the open position – together with AstraZenecas’s new social media partner Oddwork.
AstraZeneca’s team at Oddwork created a recruitment campaign on LinkedIn that was targeted towards relevant candidates, active in interest groups focusing on related topics such as ”CSSC – Computational Science & Scientific Computing”, ”SOSCIP: Smart Computing for Innovation” and ”AI for Drug Discovery”. The campaign was optimized to be shown to target groups in relevant locations such as Switzerland, United States, Sweden and Germany.
As the campaign was published in AstraZeneca’s social media channels (please see the campaign to the left) it quickly gained momentum and interest from interested candidates. After two days it had already reached 1 360 impressions in relevant candidates’ newsfeeds, resulting in 70 link clicks into the job post on AstraZeneca Careers and 5 applications.
But the campaign was up and running for another week and as it reached it’s finish line the following results could be concluded:
4937 impressions of the recruitment campaign in relevant candidates’ LinkedIn newsfeeds
242 link clicks into the open position on AstraZeneca Careers
Using the latest technology in social media, AstraZeneca managed to attract relevant candidates to the open position – building an even stronger employer brand toward relevant target groups in the field of Computational Chemistry and Machine Learning at the same time.