N=1 Patient Derived Xenograft Trials: Understanding the relationship between tumour growth rate and drug sensitivity for efficient translation and patient selection
https://astrazeneca.wd3.myworkdayjobs.com/Emerging-Talent/job/UK---Cambridge/Post-Doc-Fellow---Effective-translation-by-modelling-mouse-trials_R-023551-1 We're currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Cambridge, UK, you'll be in a global pharmaceutical environment, contributing to live projects right from the start. You'll take part in a comprehensive training programme, including a focus on drug discovery and development, given access to our existing Postdoctoral research, and encouraged to pursue your own independent research in cutting edge laboratories. It's a newly expanding programme spanning a range of therapeutic areas across a wide range of disciplines. What's more, you'll have the support of a leading academic advisor, based at the University of Cambridge, who'll provide you with the guidance and knowledge you need to develop your career. This is an exciting area that hasn't been explored to its full potential, making this an opportunity to make a real difference to the future of medical science. About AstraZeneca AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energised and rewarded for their ideas and creativity. Cancer is one of the greatest challenges facing medical science today. In our Oncology Team, you'll push the boundaries of science every day to overcome that challenge. We've been at the centre of some of the biggest breakthroughs in oncology. In lung cancer, for example, we've brought together complementary expertise to aid discovery and accelerate development in new medicines through a variety of partnerships and initiatives. We're also early adopters of new technologies to support innovation, including CRISPR, genome editing techniques and a next-generation sequencing platform for companion diagnostics in oncology. But we're not stopping there. With a world-class pipeline and some of the best experts in the industry, we're in a great position to develop even more innovative therapeutic approaches. You will improve the treatment of cancer patients by harnessing mouse trial data with a combination of bioinformatics and mechanistic modelling. These studies reproduce the disease heterogeneity observed in a human patient population. You will be investigating how the underlying growth kinetics of these engrafted tumours alters response to treatment. You will develop methodology to design and interpret patient-derived xenograft (PDX) mouse trial data sets including mathematical models of treatment effect on tumour size over time that reflect the underlying disease biology. Education and Experience Required: Essential: * Phd in mathematics, physics or engineering with a focus on biomedical research * Proven written and oral communication skills * Aptitude for interdisciplinary research Desirable: * Experience of bioinformatics, machine learning, PKPD and mathematical tumour disease modelling * Previous work with preclinical datasets Skills and Capabilities required: * Experience developing mathematical models using real experimental data. Use of R for statistics. * Understanding of ordinary differential equation models. * Experience with Matlab and NONMEM desirable This is a 3 year programme. 2 years will be a Fixed Term Contract, with a 1 year extension which will be merit based. The role will be based at Cambridge UK with a competitive salary on offer To apply for this position, please click the apply link below. Advert closing date - 13th May 2018 AstraZeneca welcomes applications from all sections of the community. 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. If you share our passion for scientific excellence, find out more at; https://careers.astrazeneca.com/students/programmes/post-doctoral-programmes ________________________________ AstraZeneca UK Limited is a company incorporated in England and Wales with registered number:03674842 and its registered office at 1 Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0AA. This e-mail and its attachments are intended for the above named recipient only and may contain confidential and privileged information. If they have come to you in error, you must not copy or show them to anyone; instead, please reply to this e-mail, highlighting the error to the sender and then immediately delete the message. For information about how AstraZeneca UK Limited and its affiliates may process information, personal data and monitor communications, please see our privacy notice at www.astrazeneca.com<https://www.astrazeneca.com>
