Dear allstat,
the postdoc programme in AstraZeneca is a pure research project for three
years in collaboration with academia. We are looking to hire an exceptional
new researcher to work in Novel methods in Bayesian Spatial Models.
In this role, you will join our Data Science & Artificial Intelligence
(DS&AI) group which has direct strategic impact on drug development,
playing a key role in getting medicines to patients. At AstraZeneca, we are
constantly pushing the boundaries of science to deliver life-changing
medicines to patients, with a real passion for discovery and a pipeline to
show for it. Here, you’ll have the opportunity to make a difference in
people’s lives every single day.
As a Postdoc Fellow, you will be developing research ideas under the
supervision of a Data Science Director and an external academic mentor. You
will be working on a project to produce novel statistical methods in
Bayesian spatial-temporal models for prediction of recruitment and
retention for clinical trials. This rewarding role will develop you as a
researcher and place you in a supportive environment for bringing forward
your ideas.
We are looking for an ambitious and talented researcher that aims to enrich
their experience and build their research profile to international
excellence.
If that sounds like you, read on!
Main Responsibilities:
- Conduct and plan scientific work with appropriate supervision
- Identify and develop suitable techniques for the collection and
analysis of data and ensure the validity and reliability of data and
findings
- Maintain highly organised and accurate record of experimental work and
complete records of all findings
- Publish in high quality journals and to present at national and
international meetings
- Actively participate in the research programme of the group, research
meetings and internal seminars.
Essential Education and Experience:
- PhD in Statistics/Mathematics/Computer Science or related subject
- Excellent knowledge of advanced statistical and machine learning
methods
- Recent track record of publications in leading international journals
and conferences in an area relevant to statistics, Bayesian methods and/or
machine learning
- Practical experience within a research environment and / or
publication in relevant and refereed journals
Desirable Qualifications:
- Experience of communicated complex statistical and mathematical
concepts to a variety of audiences
- Experience of oral presentations at international conferences
- Experience in using version control systems (GIT, SVN) and agile
software development process
- Working knowledge of clinical trial methodology and design
Skills and Capabilities required:
- Excellent verbal communication skills and the ability to deal with a
wide range of people
- Excellent written communication skills and the ability to write
clearly and succinctly for publication
- Ability to prioritise own work in response to deadlines
- Strong experience in R programming
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
Cambridge, UK, with a competitive salary on offer
Advert opening date – March 19,, 2020
Advert closing date – May 18, 2020
For job requirements and application:
https://careers.astrazeneca.com/job/cambridge/postdoc-fellow-novel-methods-for-data-collection-and-analysis/7684/15773598
For informal enquiries please contact Professor Aris Perperoglou at
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