Acerta Pharma is a leader in the field of covalent binding technology and is applying this technology to create novel, highly selective therapies for cancer. In February 2016, AstraZeneca acquired a majority share of Acerta Pharma via a USD $4 billion investment and is a committed partner to the development of these innovative drug candidates.
Acalabrutinib is Acerta's lead program which was developed based on our discovery efforts. It is an investigational covalent Bruton tyrosine kinase (BTK) inhibitor currently under investigation in multiple Phase 3 clinical trials. The clinical program includes over 20 trials in hematologic malignancies and solid tumors. Over 1,800 patients have participated in these trials to date.
Acerta Pharma is seeking a scientist to assist drug development by integrating proteomics, gene expression and genomics data generated from clinical trial specimens. This includes integration of data across multiple platforms, development of user interfaces and data mining methods that will allow for probing the data in multitude of ways. Data will derive from various technologies, which may include cell signaling profiling by phosphoflow cytometry, immunohistochemistry, Nanostring gene expression, ELISA, and next-gene sequencing. Deep biological characterization of tumor cell biology and sensitivity to various targeted agents will help identify pathways to target and elucidate why some patients develop effective clinical responses and others do not.
Knowledge of oncology, statistics, and software engineering is required. The candidate would also maintain the computational infrastructure for large-scale studies. He/she would help develop and apply informatics and computational tools and would work in close collaboration with drug discovery and translational biology teams to capture hypothesis-driven endpoints.
* PhD in computational biology, bioinformatics or a related field, or equivalent experience
* Strong interpersonal skills
* Solid track record of using computational analysis to make biological discoveries
* Understand the fundamentals of oncology and cell biology
* Proficient with Python and working with relational databases
* Experience analyzing large data sets
* Experience building bioinformatics pipelines
* Experience with data mining and visualization tools, such as R, Spotfire and Tableau
Next Steps -- Apply today!
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AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.
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MedImmune is the global biologics research and development arm of AstraZeneca