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Bioinformatics Scientist
hace 3 meses
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 endtoend data analysis capability as part of a crossfunctional 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 nonexperts 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
- Firsthand 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
