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Location:
Waltham, Massachusetts, United States
Job reference: R-046113
Posted date: May. 31, 2019
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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. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you’ll develop beyond what you thought possible.

The new R&D Oncology organisation brings together early and late oncology teams, from discovery through to late-stage development, with oncology specific Regulatory and Biometrics groups.

You’ll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. What’s more, you’ll have the support of a leading academic advisor, who’ll provide you with the guidance and knowledge you need to develop your career.

Integration of clinical data and development of models that can predict toxicities of IO drugs in patients is an extremely important & timely issue for immune-oncology. Given the number of IO combinations in clinical development and the limitations to treatment that imAEs may cause, conducting such analyses will help in streamlining clinical trials, address dose/schedule questions and improve the decision-making process of which IO combinations to be used, and how to manage imAEs through treatment modulations. You’ll conduct model based meta-analysis of imAEs to quantitatively compare safety across monotherapy and combination studies.

Education and Experience required:

Essential:

• A recent PhD and/or a recent Postdoctoral fellowship in a quantitative discipline (oncology, PKPD, pharmacology, immunology, computational biology, biostatistics, or related) with productivity demonstrated by scientific publications and conference presentations.

• Interest in applying quantitative tools to solve clinically-meaningful problems

Desirable:

• Working knowledge of biology, pharmacology, patho-physiology; experience working with clinical data a plus

• Oncology/Immuno oncology experience

Skills and Capabilities required:

• Proficiency and hands-on experience with data analysis, machine learning, and/or computational modelling in R or similar software

• Ability to communicate technical material to a broad audience

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 in Boston, US, with a competitive salary on offer 

To apply for this position, please click the apply link below.

Advert opening date – 31st May 2019 / Advert closing date – 9th August 2019

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

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Postdoc Fellow - Modeling of immune mediated adverse events – Immuno-Oncology
Scientific

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