Associate Director, Computational Oncology

hace 4 semanas


Barcelona, España AstraZeneca A tiempo completo

AstraZeneca is a company that always follows the science and turns ideas into life changing medicines. Oncology Data Science plays a unique role in driving both discovery and translation through leading computational/data driven approaches to all aspects of the drug discovery process.

**What you’ll do**
- Develop the computational strategy and lead a matrixed team of highly qualified computational scientists and individually contribute to deliver integrated predictive models using spatial, single cell, preclinical, ex-vivo and clinical multi’omic and phenotypic data.
- Partner closely with leaders across Translational Medicine and Bioscience to establish a data science strategy that facilitates back-translation through discovery of novel targets and/or prediction of drug combinations based on tumour-intrinsic and -extrinsic molecular and cellular insights.
- Use your expertise in cancer biology/drug discovery to deliver actionable insights that impact the development of the next generation of cancer medicines.
- Form effective collaborations with industry and academic leaders in the field, to develop AZ’s IP and/or publish AZ’s work in high impact journals.

**Essential requirements for the role**
- Relevant PhD in computational/systems biology, oncology bioinformatics or applied biostatistics
- Experience in leading independent successful computational biology programmes in an academic and/or industry setting
- Proven expertise in one of more of areas of single cell transcriptomics, spatial ‘omics analysis and/or digital pathology/multiplexed protein image analysis
- Significant experience in genomic biomarker analyses in oncology clinical studies
- Deep knowledge of cancer genomics/proteomics, algorithmic and statistical methods applicable to cancer genomics.
- Highly attuned communication skills and experience of working in a matrix environment and coordinating efforts and responsibilities around cross-functional project goals.
- Ability to coordinate and pursue simultaneous projects and deliver to tight deadlines.
- R and/or Python programming expertise in a Unix environment making use of high-performance computing environments.

**Desirable requirements for the role**:

- Outstanding publication record.
- Experience of graph modelling, machine learning, artificial-intelligence, Bayesian analytics or other next generation approaches to model biological data.
- Well connected to a wide network of bioinformatics and oncology communities.

If you know someone who would be a great fit, please share this posting with them.



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