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- Tasks: Join an international team to tackle HIV prevention using cutting-edge statistical methods.
- Company: Imperial College London, a world-leading institution in research and innovation.
- Benefits: Competitive salary, career development support, and potential for further funding.
- Why this job: Make a real impact on public health while expanding your research network globally.
- Qualifications: PhD in a quantitative field and strong programming skills required.
- Other info: Exciting opportunities for collaboration and publication in top journals.
The predicted salary is between 36800 - 38730 ÂŁ per year.
Overview
POST DOC in STATISTICS and PATHOGEN PHYLODYNAMICS (Imperial College London)
Mar 29, 2018
We have an open 2 year post doc position here at Imperial in the Stats Section with partners in Seattle, on epidemiology and new Bayesian methods for estimating sources of transmission with phylogenetics. No pre-requisites in phylogenetics are required. We are looking for someone with solid foundations in Bayesian Statistics (e.g. hierarchical modelling, nonparametric inference, graphical models), paired with excellent computing skills (e.g. R, MCMC, Stan, github, TensorFlow). The project is joint with partners in the US, so the post might be a great opportunity for someone who is about to graduate, and who would like to build a research network across the pond. The data also have just been collected, so I imagine there is scope for good papers both in stats and epidemiological journals.
- Department: Mathematics, Statistics Section
- Salary: £36,800 – £38,730 per annum plus benefits
- Duration: 24 months, starting as soon as possible
- Closing date: 06 April 2017
How to apply: http://www.imperial.ac.uk/employment NAT00099
Applications are invited from a talented individual with strong quantitative skills to join Dr. Oliver Ratmann’s research group in the Department of Mathematics at Imperial College London as a Research Associate in Statistics and Pathogen Phylodynamics, and in strong collaboration with Dr. Joshua Herbeck (University of Washington, USA) and further international academic and public health partners.
This post holder will work as part of an international team to address key questions in HIV prevention from an objective marker, viral sequences, through state of the art statistical approaches that build on branching process theory, structured coalescent, and Bayesian hierarchical models (in short pathogen phylodynamics). The project brings together a multi-disciplinary team of public health communities (Public Health–Seattle and King County), and academic partners (Imperial College London, University of Washington, Fred Hutchinson Cancer Research Center, Seattle Children’s Research Institute). Outcomes will have direct impact to prevention and intervention programmes in Seattle, North America and Europe, as well as the UNAIDS cities initiative to fast-track elimination of HIV transmission.
This post is an exciting opportunity to expand on significant recent methodological advances in pathogen phylodynamics, to build collaborations within an international, multi-disciplinary and world-leading team, and to shape a cutting-edge research project between core methodology and public health partners. The position is initially funded through the U.S. National Institutes of Health for a duration of two years. Potential further funding through a strongly connected research project with the HIV Transmission Elimination Initiative and partners in Amsterdam, the Netherlands, is a possibility (http://hteam.nl).
Prior expertise in molecular epidemiology/ pathogen phylodynamics is not required. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.
Qualifications and requirements:
- You will hold a PhD in statistics, mathematics, physics, evolutionary biology, epidemiology, computer science or closely related discipline by the time of appointment; have an excellent track record in carrying out original research in statistics or an equivalent quantitative field;
- strong programming skills, especially software development for statistical computing, and skills in R, UNIX, text processing and data handling;
- ability to work and communicate effectively in a multi-disciplinary team; excellent verbal and English-writing skills; willing to travel and spend time in Seattle as part of the project.
The position would suit applicants interested in developing a career at the intersection of infectious disease epidemiology, statistics and phylogenetics. Most important are an inquisitive mind and the desire to develop and apply statistical methodology to questions of substantive importance to HIV epidemiology. There will be opportunities to take on senior roles in the research group including student supervision and the design of work packages; publish interdisciplinarily in statistics and epidemiology journals; develop your own research program; and work with and visit the academic and public health partners in Seattle.
For additional information please contact Dr Oliver Ratmann (oliver.ratmann@imperial.ac.uk) and Dr. Joshua Herbeck (herbeck@uw.edu).
Our preferred method of application is online via our website http://www.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number NS2017189LH into “Keywords”). Please complete and upload an application form as directed, also providing a CV (including list of publications) and a cover letter.
Should you have any queries regarding the application process, please contact Mrs Rusudan Svanidze, Research Operations Manager, Email: r.svanidze@imperial.ac.uk
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 – £34,040 per annum.
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POST DOC in STATISTICS and PATHOGEN PHYLODYNAMICS (Imperial College London) 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 POST DOC in STATISTICS and PATHOGEN PHYLODYNAMICS (Imperial College London)
✨Network Like a Pro
Get out there and connect with folks in your field! Attend conferences, workshops, or even online webinars. Building relationships can lead to opportunities that aren’t advertised.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Bayesian methods or programming in R. Let them see what you can do!
✨Tailor Your Approach
Before any interview, research the team and their work. Tailor your questions and comments to show you’re genuinely interested in their projects, especially in stats and epidemiology.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Imperial College London.
We think you need these skills to ace POST DOC in STATISTICS and PATHOGEN PHYLODYNAMICS (Imperial College London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your solid foundations in Bayesian Statistics and computing skills in your CV and cover letter. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Cover Letter: Your cover letter should reflect your passion for statistics and pathogen phylodynamics. Let us know why you’re excited about this opportunity and how you can contribute to our international team.
Keep It Professional: While we love a friendly tone, remember to keep your application professional. Use clear language and structure your documents well to make it easy for us to read through your qualifications.
Apply Online: Don’t forget to apply through our website! It’s the easiest way for us to receive your application. Just follow the instructions on the job page and upload your CV and cover letter as directed.
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Bayesian Basics
Make sure you brush up on your knowledge of Bayesian statistics, especially hierarchical modelling and nonparametric inference. Be ready to discuss how these concepts apply to the project and share any relevant experiences you've had using them.
✨Show Off Your Coding Skills
Since strong computing skills are a must, be prepared to talk about your experience with R, MCMC, and Stan. Bring examples of your work or projects where you used these tools, and if possible, demonstrate your familiarity with GitHub and TensorFlow.
✨Understand the Project's Impact
Familiarise yourself with the project's goals, especially its implications for HIV prevention. Being able to articulate how your work can contribute to public health initiatives will show your enthusiasm and understanding of the field.
✨Prepare for Team Dynamics
This role involves working in a multi-disciplinary team, so think about your past experiences in collaborative settings. Be ready to share examples of how you've effectively communicated and worked with others, especially in diverse teams.
