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- Tasks: Join our team to enhance medicine use through data science and innovative research methods.
- Company: Be part of Professor Reecha Sofat's group, focused on improving healthcare with cutting-edge research.
- Benefits: Enjoy a full-time position with opportunities for salary growth upon PhD completion.
- Why this job: Make a real impact in drug discovery and equitable medicine use while collaborating with experts.
- Qualifications: PhD in relevant fields like epidemiology, statistics, or data science is required; pending PhD candidates welcome.
- Other info: Commitment to diversity is a core value of our team.
The predicted salary is between 36000 - 60000 £ per year.
Professor Reecha Sofat’s group is seeking an experienced and motivated PDRA to work on research related to making and using medicines better utilising a data science approach. This includes using electronic health record data, genomic and multi-omic data to inform the better use of medicines, to ensure their safe and equitable use across society, drug discovery and repurposing opportunities. Techniques will include Target Trial Emulation and Mendelian randomisation, but also other methods. Whilst domain expertise in health or therapeutics is not essential it is desirable but can be acquired through the post and working within this team.
This post is full time and fixed term.
You should have a PhD degree in epidemiology, statistics, mathematics, computer science, physics, engineering, data science or other relevant areas.
If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written confirmation that you have been awarded your PhD, your salary will be increased to Grade 7, spine point 31.
Commitment to Diversity
Postdoctoral Research Associate Pharmacology & Therapeutics employer: University of Liverpool
Contact Detail:
University of Liverpool Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate Pharmacology & Therapeutics
✨Tip Number 1
Familiarize yourself with the latest research in pharmacology and therapeutics, especially studies that utilize data science approaches. This will not only enhance your understanding but also allow you to engage in meaningful discussions during the interview.
✨Tip Number 2
Network with professionals in the field of epidemiology and data science. Attend relevant conferences or webinars where you can meet researchers and potentially get insights into the work being done in Professor Sofat's group.
✨Tip Number 3
Brush up on techniques like Target Trial Emulation and Mendelian randomisation. Being able to discuss these methods confidently will demonstrate your readiness to contribute to the team's research goals.
✨Tip Number 4
Show your commitment to diversity and equity in healthcare during your interactions. Highlight any past experiences or projects that reflect your dedication to these values, as they align with the ethos of the team.
We think you need these skills to ace Postdoctoral Research Associate Pharmacology & Therapeutics
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the specific requirements and responsibilities of the Postdoctoral Research Associate position. This will help you tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasize any experience you have with data science approaches, electronic health records, or relevant research methodologies. Make sure to connect your past work to the skills needed for this role.
Showcase Your Education: Clearly state your educational background, especially your PhD. If you are awaiting your PhD, mention your expected completion date and how your current research aligns with the position.
Express Commitment to Diversity: Since the position mentions a commitment to diversity, consider including a statement in your application that reflects your understanding and support for diversity and inclusion in research and academia.
How to prepare for a job interview at University of Liverpool
✨Understand the Research Focus
Make sure you familiarize yourself with the specific research areas of Professor Reecha Sofat's group. Knowing about data science applications in pharmacology and therapeutics will help you demonstrate your interest and fit for the role.
✨Highlight Relevant Skills
Prepare to discuss your experience with techniques like Target Trial Emulation and Mendelian randomisation. Even if you haven't used these methods directly, showing your understanding of them and how they relate to your background can set you apart.
✨Showcase Your Data Science Knowledge
Since the role emphasizes a data science approach, be ready to talk about your proficiency in handling electronic health record data, genomic data, or any relevant data science tools and methodologies you've used in your previous work.
✨Emphasize Commitment to Diversity
Given the commitment to diversity mentioned in the job description, think about how you can contribute to an inclusive environment. Share any experiences or perspectives that highlight your dedication to equity and collaboration in research.
