Associate Director, Bioinformatics
Location: Barcelona (on-site)
Do you have expertise in and passion for bioinformatics? Would you like to play a pivotal
role that impacts the delivery of novel biologics drugs for oncology, respiratory and
cardiovascular diseases in a company that follows the science and turns ideas into life
changing medicines? Then AstraZeneca might be for you!
role that impacts the delivery of novel biologics drugs for oncology, respiratory and
cardiovascular diseases in a company that follows the science and turns ideas into life
changing medicines? Then AstraZeneca might be for you!
The Data Science & Advanced Analytics division is a group of experts from different
disciplines including Data Science, Real World Evidence and Bioinformatics who are
focused on applying their skills to advance and transform the drug discovery process at
AstraZeneca. We collaborate deeply across all therapeutic areas and work closely with our
leading biologists, chemists to try and address how big data can accelerate our drug
development pipelines . In particular, this role will focus on increasing the biological
understanding of the toxicity and safety response to drugs by exploring transformative ways
to analyse multi-modal biomarker signatures. If you want to have an impact on transforming
patients' lives by accelerating new medicines to patients, this may be the position for you!
We are looking for an experienced Bioinformatics Scientist to join our translational
Bioinformatics team.
disciplines including Data Science, Real World Evidence and Bioinformatics who are
focused on applying their skills to advance and transform the drug discovery process at
AstraZeneca. We collaborate deeply across all therapeutic areas and work closely with our
leading biologists, chemists to try and address how big data can accelerate our drug
development pipelines . In particular, this role will focus on increasing the biological
understanding of the toxicity and safety response to drugs by exploring transformative ways
to analyse multi-modal biomarker signatures. If you want to have an impact on transforming
patients' lives by accelerating new medicines to patients, this may be the position for you!
We are looking for an experienced Bioinformatics Scientist to join our translational
Bioinformatics team.
What You'll Do:
- Contribute to the development of innovative and transformative data analysis
- capabilities as part of a cross-functional team.
- Analyse and interrogate multi-omics biomarker signatures for applications such aspredicting drug failure due to toxicity or predicting patient outcomes in clinical studies.
- Work collaboratively with data and drug discovery scientists to deliver insights that will have direct impact on the drug discovery and development pipeline.
- Support testing and verification of FAIR data management systems in collaboration with AZ stakeholders.
- Demonstrate effective communication to translate complex concepts to non-experts in internal and external scientific meetings.
- Contribute ideas and provide creative input to projects across multiple disease areas including respiratory, immunology, cardiovascular, renal, metabolism and
- neuroscience.
- Remain at the cutting edge of bioinformatics.
Essential for the Role:
- PhD in bioinformatics or related field and 5+ years relevant experience
- First-hand experience in the analysis and interpretation of large, complex datasets
- Expertise in transcriptomics and/or proteomic analysis
- Experience with analysis of gene networks
- Experience with R and/or Python
- Ability to explore novel bioinformatic approaches to improve sensitivity and
- specificity of existing software solutions.
- Strong, professional communication skills and excellent attention to detail, capable of
- developing good working relationships with diverse individuals
- Ability to work with stakeholders to identify opportunities and synergies across
- projects
- Experience working within a team environment
- Takes ownership of tasks and has a can do attitude
Desirable for the Role:
- Exposure to using Real World Data
- Strong statistical skills
- Experience with create production quality code and software engineering techniques and practices. e.g. version control, Jira, Agile, Scrum, code reviews etc.
- Familiarity with multiple R&D data types, especially as they relate to therapeutic area research
- Capability of successfully managing multiple simultaneous projects
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