Bioinformatics Scientist

hace 1 semana

Barcelona, España AstraZeneca A tiempo completo

**Bioinformatics Scientist**

**Short role description**

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

We are looking for a Bioinformatics Scientist to join our translational Bioinformatics team.

**Typical accountabilities**
- Contribute to the development of an end-to-end data analysis capability as part of a cross-functional team
- Work collaboratively with data and drug discovery scientists to establish analytics workflows for biologics discovery
- Support testing and verification of data management analyses and tools and pipelines 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**
- PhD in bioinformatics or related field and 3+ years relevant experience
- Experience in using and analysing illumina NGS data
- Experience with Python
- Ability to explore novel bioinformatic approaches to improve sensitivity and specificity of NGS based workflows.
- Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals
- Experience working within a team environment
- Takes ownership of tasks and has a can do attitude

**Desirable**
- Experience in illumina workflows, in particular the primary analysis around going from raw images to fastq files
- Experience with R, bash or Rust programming languages
- Experience with Kubernetes cluster and associated software e.g. kubeflow
- First-hand experience in the analysis and interpretation of large, complex datasets.
- 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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