Location: Barcelona, Spain (On-site): We require 3 days working from the office and 2 days working from home.
Please apply with an English Resume
Make a more meaningful impact on patients' lives around the globe. Here you'll have the opportunity to make a meaningful difference to patients' lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world's most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem.
With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There's no better time to join our global, growing enterprise as we lead the way for healthcare and society.
Accountabilities:
This role is within the Centre for Genomics Research. It is an opportunity to be part of ground-breaking research at the forefront of human multi-omics. This role will focus on developing cutting-edge methods focused on the analysis and integration of multi-omic data, including genomics, proteomics, metabolomics, and transcriptomics from hundreds of thousands of ancestrally diverse human samples. You will be part of a dynamic team in CGR's multidisciplinary genomics research environment comprising bioinformaticians, genome scientists, software engineers, postdoctoral researchers, and disease area specialists. You will also work closely with specialists in translational science, drug discovery, pre-clinical modelling, and clinical development.
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Develop new methods and apply them in the interpretation of large human studies, including population-scale omics analyses
- Identify opportunities to incorporate additional molecular data into genomic analyses such as proteomics, metabolomics and gene expression data
- Use the integration of multi-modal human omics data from diverse populations to understand disease biology, disease mechanisms of causal human genetic discoveries, and lifecycle management
- Identify repurposing opportunities for new and existing medicines
- Create new methods using multi-omics data to map non-coding regulatory variation to druggable targets
- Work with sophisticated phenotype data (e.g., electronic health records and clinical trials) to better identify population subgroups of greatest interest
- Develop analytical algorithms and custom-built tools to integrate omics data and address key scientific questions
- Contribute to publication of results
Essential Skills/Experience
- Doctoral degree (or equivalent experience) in biostatistics, bioinformatics, statistical genetics or a related field
- Have experience in large-scale human genetic data analysis
- Coding skills appropriate for large-scale genomics analysis
- Understanding or curiosity about the potential of genomics to impact drug discovery
- Possess superb communication skills and willingness to work within a team in a quickly evolving environment
- Have a track record of peer-reviewed publications in high-level scientific journals
Desirable Skills/Experience:
- Experience integrating e QTLs, p QTLs and PRSs score into statistical models
- Experience in case-control sequencing based statistical analyses
- Experience in analysing transcriptome and proteome data
- Familiarity with high performance and/or cloud computing
- Experience quantifying and interpreting the clinical relevance of rare variants
At Astra Zeneca, we play an essential role in helping patients who need it the most. Our high exposure roles allow us to shape end deliverables and embrace global opportunities across all Therapy Areas. With a restless need to keep improving, we are always moving forward and searching for something new. Our supportive yet challenging approach makes for an inspiring learning environment where every setback is seen as a chance to improve. We combine specialist knowledge with curiosity, always searching for better ways of doing things and getting the best end-result.
Join us today and be part of something that truly matters!
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