Master student (CPSS) Clinical Pharmacology and Safety Sciences

AstraZeneca is an innovation-driven global biopharmaceutical company focused on the discovery, development and commercialization of prescription medicines, primarily for the treatment of cardiovascular, renal and metabolic, respiratory and immunological, oncological and rare diseases.  

In line with our firm commitment to training and developing exceptional talent, this person will join our Clinical Pharmacology and Safety (CPSS) area to learn and grow through active collaboration with our team. 

Conditions: 

Duration: 6-12 months 

Hours per day: Full time 

Location: Barcelona, Avda. Diagonal, 615 – 08024  

Focus area: Predictive AI, Data Science and Bioinformatics 

Training through practical experience:  

The intern will undergo training in bioinformatics analysis and interpretation of omics data, to support the development of new predictive capabilities through AI, data science, and bioinformatics for predictive safety. In this role, they will contribute to the advancement of multi-omics technologies, which encompass the measurement of transcripts, proteins, and metabolites at both the bulk and spatial levels. This contribution will aid in translating these data into biological insights and supporting the discovery of novel mechanisms of action of our compounds. Additionally, the intern will gain experience in hypothesis generation through computational biology approaches, data integration, and leveraging biological knowledge. Finally, they will collaborate with academic research groups and contribute to publications in peer-reviewed journals. 
 

Requirements  

• Bioinformatics skills with a focus on high-throughput omics data (i.e. bulk transcriptomics or proteomics). 

• Expertise in R or Python, together with data visualization frameworks (e.g. ggplot2, matplotlib or others). 

• Use of basic statistics (e.g. parametric and non-parametric tests, p-values, correlation metrics, PCA). 

• Spatial omics experience is a plus (e.g. spatial transcriptomics). 

• Skillsets in additional computational biology domains are a plus. 

AstraZeneca is a company that promotes equal opportunities. AstraZeneca will consider all eligible persons, without discrimination based on disability, sex or sexual orientation, pregnancy or maternity/paternity period, race or origin (national or ethnic), age, religion or belief, identity of gender, marital or de facto partnership status and/or any other characteristic protected by law. 

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.