Dear all,
an exciting opportunity to join AstraZeneca as a postdoc researcher.
About our Postdoc Programme:
We’re currently looking for dedicated scientists and researchers to join
our innovative academic-style Postdoc Programme. From our centre in
Cambridge, UK or Gaithersburg, US, you’ll be in a global pharmaceutical
environment, contributing to live projects right from the beginning. You’ll
take part in a comprehensive training programme, with access to
cutting-edge Machine Learning and AI ideas, given access to our existing
Postdoctoral research, and encouraged to pursue your own independent
research.
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. This is an exciting area that hasn’t been explored to its full
potential, making this a chance to make a real difference to the future of
medical science.
About this Opportunity:
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 delivering medicines to patients. Here, you’ll help
accelerate the potential of medicines and science, and have the opportunity
to make a positive impact on patients’ 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.
Applying your knowledge and pushing it further. It’s not always easy, but
it’s always rewarding. A place full of challenges and opportunity where you
can be adventurous and courageous to push boundaries, change the game,
innovate and make an impact.
You will be working on a project to produce novel statistical methods in
Bayesian spatial-temporal models for prediction or 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 a motivated researcher seeking 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
- Develop novel machine learning approaches
- Maintain highly organised and accurate record of experimental work and
complete records of all findings
- Publish in high quality journals and present at national and
international meetings
- Actively participate in the research programme of the group, research
meetings and internal seminars.
Required Qualifications, Skills 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
- Excellent verbal and written communication skills.
- The ability to work collaboratively with a diverse group of people
- Ability to prioritise own work
- Strong experience in R programming
Desirable Qualifications, Skills and Experience:
- Experience of communicating sophisticated 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
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, or Gaithersburg, USA, with a competitive salary on offer
Advert closing date – July 11, 2021
For informal enquiries contact
Prof Aris Perperoglou at Este enderezo de correo está a ser protexido dos robots de correo lixo. Precisa activar o JavaScript para velo.
Applications and more details:
1. *LinkedIn* here:
https://www.linkedin.com/jobs/view/2593808682/?alternateChannel=search&refId=T4rTzjM2HLP4c1VC%2FpztZA%3D%3D&trackingId=Xiq4kDOtmknRbbEAL4rwTQ%3D%3D
2. *AstraZeneca’s Careers Website* here*: *
Postdoc Fellow - Bayesian Machine Learning Modelling with applications in Clinical Trial Predictions at AstraZeneca
