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- Tasks: Join us to develop innovative Bayesian statistical methods for biomedical data analysis.
- Company: Be part of the MRC Biostatistics Unit at the University of Cambridge, a leader in biostatistics research.
- Benefits: Enjoy a vibrant research environment, flexible working options, and a commitment to diversity and inclusion.
- Why this job: Make a real impact on population health while collaborating with renowned statisticians in a dynamic setting.
- Qualifications: A PhD in a relevant field and a passion for Bayesian methodology are essential.
- Other info: This is a fixed-term position with funding available for 3 years.
The predicted salary is between 28800 - 48000 £ per year.
Bayesian methodology postdoc – University of Cambridge, MRC Biostatistics Unit, UK
Oct 12, 2023
This is an exciting opportunity for an ambitious post-doctoral research associate to join the MRC Biostatistics Unit to carry out methodological research relating to Bayesian inference.
The post-holder will focus on developing novel Bayesian statistical methodology to improve the analysis and understanding of biomedical data, particularly relating to population health and/or patients in hospitals. Depending on their skills and interests, there are several potential directions that the postholder could pursue. See for further details.
The MRC Biostatistics Unit undertakes research on statistical methods and their application to the design, analysis and interpretation of biomedical studies, to advance understanding of the cause, natural history and treatment of disease, and to evaluate public health strategies. It is one of Europe’s leading biostatistics research institutions and includes many internationally renowned statisticians. The Unit is situated on the Cambridge Biomedical Campus, one of the world’s most vibrant centres of biomedical research, which includes the University of Cambridge’s Clinical School, two major hospitals, the MRC Laboratory of Molecular Biology, and the world headquarters of Astra Zeneca. The Unit provides a privileged environment for conducting research within the Cambridge biomedical environment.
The Unit is actively seeking to increase diversity among its staff, including promoting an equitable representation of men and women. The Unit therefore especially encourages applications from women, from minority ethnic groups and from those with non-standard career paths. Appointment will be made on merit. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We welcome applications from those wishing to work part-time. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Fixed-term: The funds for this post are available for 3 years in the first instance.
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Bayesian methodology postdoc – University of Cambridge, MRC Biostatistics Unit, UK employer: The International Society for Bayesian Analysis
Contact Detail:
The International Society for Bayesian Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bayesian methodology postdoc – University of Cambridge, MRC Biostatistics Unit, UK
✨Tip Number 1
Familiarise yourself with the latest advancements in Bayesian methodology. This will not only help you during interviews but also demonstrate your genuine interest in the field and the specific work being done at the MRC Biostatistics Unit.
✨Tip Number 2
Network with current or former researchers from the MRC Biostatistics Unit. Engaging with them can provide valuable insights into the research culture and expectations, which can be beneficial when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss potential research directions that align with both your skills and the Unit's focus areas. Having a few ideas ready can show your initiative and readiness to contribute to their ongoing projects.
✨Tip Number 4
Highlight any collaborative projects you've been involved in, especially those related to biomedical data analysis. The ability to work well in a team is crucial in a research environment like Cambridge, so make sure to showcase your teamwork skills.
We think you need these skills to ace Bayesian methodology postdoc – University of Cambridge, MRC Biostatistics Unit, UK
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific requirements and responsibilities of the Bayesian methodology postdoc position. This will help tailor your application to highlight relevant skills and experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous research or projects related to Bayesian inference or biostatistics. Be specific about your contributions and the impact of your work in these areas.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the MRC Biostatistics Unit. Mention how your research interests align with their goals and the potential directions you could pursue.
Proofread Your Application: Before submitting, carefully proofread your application materials for any grammatical errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in academic settings.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Understand Bayesian Methodology
Make sure you have a solid grasp of Bayesian inference and its applications in biomedical data. Be prepared to discuss specific methodologies you've worked with and how they can be applied to improve analysis in population health.
✨Showcase Your Research Experience
Highlight your previous research projects, especially those related to biostatistics or Bayesian methods. Be ready to explain your role, the challenges you faced, and the outcomes of your work.
✨Familiarise Yourself with the Unit's Work
Research the MRC Biostatistics Unit and its recent publications. Understanding their current projects and methodologies will help you tailor your responses and demonstrate your genuine interest in joining their team.
✨Emphasise Collaboration Skills
Since the role involves working within a diverse team, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve research goals.
