Post Doctoral Opportunity at AstraZeneca (2 yr term)

Post Doctoral Opportunity: Joint Modelling of Longitudinal and Survival Data in Oncology Patients to Assist Early Decision Making in Clinical Development. We're currently looking for talented scientists to join our innovative academic-style Postdoc. From our centre in Waltham USA 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. 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. Description This is a postdoctoral position in the area of statistical modelling in oncology. The individual will be based in the Department of Quantitative Clinical Pharmacology in AstraZeneca in Waltham, MA, and will be a member of the Interdisciplinary Program in Pharmacometrics which links pharmacometric experts across the Scientific Core Platforms. As a Postdoctoral Scientist in Pharmacometrics and Statistics it's essential that you have: * A PhD with a track record of productivity in the areas of statistics, pharmacometrics, mathematics, engineering or related field, as manifested in publications and presentations * Good written and verbal communication skills as the position will require working with colleagues in cross-geographic locations * Good team-worker in a multidisciplinary environment * The ability to share knowledge and interpret findings * A strong scientific track record, as evidenced by published or accepted papers in peer-reviewed journals, oral and/or poster presentations at scientific meetings The following skills and qualifications are desirable: * An understanding of pharmacology, safety, pharmacokinetic, pharmacodynamic and oncology therapeutic areas * Mathematical or statistical modelling, with experience in modelling biological data * Hands-on familiarity with software platforms such as R, SAS, NONMEM, MATLAB, Phoenix or other software/scripting languages * The capability and drive for performing applied pharmacometrics research, without the need for close supervision As a Postdoctoral Scientist in Pharmacometrics and Statistics you will be: * Involved in the development of statistical and pharmacological models in oncology, working as part of a modelling team and collecting clinical data in oncology, both from the public domain and in-house data * Data assembling and manipulating using programs such as R and SAS, and developing joint models of longitudinal and survival data with the collected dataset * Developing skills in both clinical pharmacology and pharmacometrics and its impact on the drug development process, especially in the oncology therapeutic area * Actively engaging with all AstraZeneca and academic supervisors and collaborating with other scientists * Communicating the results of modelling in presentations to key stakeholders and publishing scientific papers describing findings and any novel method/approaches More details please check the link below: https://www.candidatecare.com/srccsh/RTI.home?r=5000081706810&c=11&d=astrazeneca.candidatecare.com&_dissimuloSSO=ITy7YsAj2fY:QW0X8o7r0LhXZeHbp66Jkvlhag8&_fromPublish=true If you have any question or would like to apply, please contact Dr. Hongmei Xu ([email protected]<mailto:[email protected]>) ________________________________ Confidentiality Notice: This message is private and may contain confidential and proprietary information. If you have received this message in error, please notify us and remove it from your system and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this message is not permitted and may be unlawful.