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Senior Scientist, Oncology Bioinformatics
hace 1 semana
About AstraZeneca
At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.
If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you're our kind of person.
Early Oncology Data Science
The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives.
The Early Oncology Data Science team is an integral part of Oncology Drug Discovery at AstraZeneca, working throughout the research and early development pipeline from new target discovery to translational medicine and clinical trials.
Our global group aligns its data science expertise to AstraZeneca's primary areas of focus in Oncology:Immuno-Oncology, Cell Therapies, DNA Damage and Response, Tumour Drivers & Resistance, Epigenetics, and Antibody-Drug Conjugates.
What you'll do
Responsibilities:
- Working closely with data science, bioscience and translational leaders, you will be responsible for prioritising and delivering data science analysis for multiple drug projects within our immunooncology portfolio.
- You will be responsible for the quality of your analyses, ensuring that they are safely stored, statistically sound, well documented, reproducible and compliant with regulatory and company policy.
- You will also be responsible for communicating about your work and its impact to colleagues in AstraZeneca and externally via conferences, collaborations and publications, including helping other data scientists to learn from your experiences.
Education, Qualifications, Skills and Experience
Essential for the role:
- Relevant PhD (or equivalent graduate degree plus proven applied experience), combining:
- Technical expertise in applied bioinformatics, computational biology, data science or biostatistics.
- Knowledge of immune system biology and its relevance to cancer or other disorders.
- Expertise in the organisation, analysis and interpretation of multiomic, including singlecell data to reveal drug action and resistance mechanisms, tumor microenvironment subtypes, clinically relevant biomarkers or pancancer stratifications.
- Reproducible R or Python programming and visualisation expertise in Unix/Linux compute cluster environments.
- Skilled in effective communication of complex data to nonexperts.
- Capable of successfully managing multiple simultaneous projects involving crossfunctional teams.
- Experience of contributing to the research community through conferences, peerreviewed publications and source code.
Desirable for the role:
- Knowledge and experience of working with different immunooncology drug modalities like cell therapies and immune cell engagers.
- Prior experience of working in drug discovery.
- Experience of analysing and organising clinical data.
Why AstraZeneca
At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There's no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.
So, what's next?
Are you already imagining yourself joining our team? Good, because we can't wait to hear from you
Competitive salary and benefits package on offer.
Where can I find out more
Our Social Media,
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