At a Glance
- Tasks: Join a team tackling malaria through cutting-edge genomic research and data analysis.
- Company: Liverpool School of Tropical Medicine, a leader in global health research.
- Benefits: Generous pension schemes, cycle to work, and discounted sports centre membership.
- Why this job: Make a real impact on global health while working with innovative technologies.
- Qualifications: PhD in relevant fields; programming skills in Python preferred.
- Other info: Flexible working options and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Location: Liverpool
Full-Time, Fixed-term appointment for 18 months
Based in Liverpool with occasional international travel
The Liverpool School of Tropical Medicine (LSTM) is a world-leading centre for research and training in global health. The Vector Biology Department focuses on understanding the biology, ecology, and evolution of disease vectors to inform strategies for disease control.
We are seeking a Postdoctoral Research Associate (PDRA) to join the MalariaGEN Vector Team on the Vector Observatory project. Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three major hurdles in the use of genomic data in public health - access to big data sets, the technology to analyse these data, and the knowledge to interpret the results.
In this role, you will develop, optimise, and maintain cloud-native genomic surveillance tools, datasets, and training resources. You will apply these to study insecticide resistance and the population structure of malaria mosquito vectors, generating insights that directly support evidence-based malaria control strategies. This position offers a unique opportunity to work at the cutting edge of vector genomics, contributing to a global effort to improve malaria surveillance and control.
Given the multidisciplinary nature of the project we welcome applications from candidates who hold a PhD in a range of fields including computer science, bioinformatics, statistics, or genomics. Previous experience working with insect vectors is not essential and we would encourage all researchers interested in harnessing the power of genomics, and big data to address important public health issues.
Key responsibilities will include:
- Apply evolutionary genetic approaches to the study of disease vectors
- Design, develop, and implement genomic-based tools and methods to address fundamental evolutionary questions in Anopheles mosquitoes
- A key model for our work is on the evolution of insecticide resistance, but the PDRA would be encouraged to work on other related topics
- Provide support and supervision to students and technical staff within the group
- Assist in the design and supervision of PhD student projects
- Support students and technicians working on similar topics, especially in the analysis of their data
- Generate ideas and data to support new project applications
- Contribute to the writing of research grants/fellowships in collaboration with PIs
- Disseminate findings through publications and conferences, as relevant to research
Ideally you will demonstrate:
- PhD in Computer Science, Bioinformatics, Statistics, or Genomics
- Experience or knowledge of next generation sequencing technologies, bioinformatics and statistical method development and/or epidemiology and large-scale data management
- Strong programming skills, ideally with experience in Python
- Well-developed research skills with the ability to present research findings in oral or written format
- Experience or knowledge of computational best practices
- Experience of training staff
- Evidence of preparing publications for specialist/general science journals
Application Process: To apply for the position please follow the apply link and upload your CV and covering letter. Due to the volume of applications, we receive, we may close our vacancies early. It is therefore advisable to apply as early as possible if you would like to be considered for a role.
Inclusion is central to our values at LSTM. We seek to attract and recruit people who reflect the diversity across our communities, regardless of sexual orientation, gender identity, ethnicity, nationality, faith or belief, social background, age and disability. LSTM selects candidates based on skills, qualifications, and experience. We welcome conversations about flexible working; and applications from those returning to employment after a break from their careers.
Founded in 1898 and the oldest of its kind in the world, the Liverpool School of Tropical Medicine (LSTM) is an internationally recognised centre of excellence for teaching and research in tropical diseases. Through the creation of effective links with governments, NGOs, private organisations and global institutions and by responding to the health needs of communities, LSTM aims to promote improved health, particularly for people of the less developed/resource poorest countries in the tropics and sub-tropics.
Post Doctoral Research Associate (91336) in Liverpool employer: Lstmed
Contact Detail:
Lstmed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post Doctoral Research Associate (91336) in Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of genomics or public health. Attend relevant conferences or seminars, and don’t be shy about introducing yourself to potential collaborators or employers.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work, especially any projects related to genomic surveillance or data analysis. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses. Focus on articulating how your background in computer science or bioinformatics can contribute to malaria control strategies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at LSTM and contributing to global health research.
We think you need these skills to ace Post Doctoral Research Associate (91336) in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Post Doctoral Research Associate role. Highlight relevant experience, especially in genomics and bioinformatics, and don’t forget to showcase your programming skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about malaria research and how your background fits with the Vector Observatory project. Be genuine and let your enthusiasm show!
Showcase Your Research Skills: In your application, emphasise your research skills and any previous publications. If you've worked on similar projects or have experience with next-generation sequencing technologies, make sure to mention that!
Apply Early!: We receive a lot of applications, so don’t wait until the last minute to apply. Get your application in early through our website to ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Lstmed
✨Know Your Stuff
Make sure you brush up on the latest in vector biology and genomics. Familiarise yourself with the MalariaGEN Vector Team's work and the specific projects they’re involved in. This will show your genuine interest and help you answer questions more confidently.
✨Showcase Your Skills
Prepare to discuss your programming skills, especially in Python, and any experience you have with next-generation sequencing technologies. Be ready to provide examples of how you've applied these skills in past research or projects.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask insightful questions about their current projects or challenges they face. This demonstrates your enthusiasm and critical thinking skills, which are crucial for a role like this.
✨Highlight Collaboration Experience
Since this role involves working with students and technical staff, be prepared to discuss your experience in mentoring or collaborating with others. Share specific examples of how you’ve supported team members in research settings.