At a Glance
- Tasks: Conduct bioinformatic and epidemiological analyses on bacterial transmission in Indonesia.
- Company: Liverpool School of Tropical Medicine, a leader in tropical health research.
- Benefits: 30 days annual leave, generous pension, and flexible working options.
- Other info: Collaborate with diverse teams and contribute to high-impact publications.
- Why this job: Join a groundbreaking project tackling antibiotic resistance and make a global impact.
- Qualifications: PhD in relevant field and experience in bioinformatics and genomic analysis.
The predicted salary is between 35000 - 45000 € per year.
Full-Time, Fixed-term appointment to 31st March 2028. Based in Liverpool (may include the occasional international travel). The Clinical Sciences Department at the Liverpool School of Tropical Medicine is seeking to appoint a highly motivated Post-Doctoral Research Associate to join the UKRI-funded INTERCEPT project: INTerrupting prolifERation of Carbapenem resistance in Indonesia: clinical and genomic Evaluation of Pathways of Transmission. INTERCEPT aims to understand transmission of carbapenem resistance at the level of the health system, the individual, the cell, and intracellularly.
The successful candidate will plan and undertake bioinformatic and epidemiological analyses to investigate routes of bacterial transmission in Indonesia, working with genomic, clinical, and epidemiological datasets. The successful candidate will play a central role in planning and conducting bioinformatic and epidemiological analyses to investigate routes of bacterial transmission. The post holder will work with large-scale genomic and clinical datasets, applying analytical approaches to characterise patterns of antimicrobial resistance and transmission dynamics across healthcare and community settings. The post holder will collaborate with multidisciplinary teams in the UK and Indonesia and contribute to data analysis, interpretation, scientific publications, and dissemination activities.
Key Responsibilities
- Support the delivery of the research project’s analysis
- Design and carry out bioinformatic analyses using whole-genome sequence and post-enrichment metagenomic data
- Design and carry out analyses on clinical and epidemiologic data and link to bioinformatic findings
- Work with interdisciplinary collaborators to interrogate and enhance findings from analyses
- Work collaboratively with project team, including contributing to planning of project wet-lab experiments
- Support dissemination of project outputs
- Draft and revise manuscripts describing research findings and publish in high-impact journals
- Present findings at national and international conferences
- Support other project activities including mentoring and supervision
- Actively participate in planning of research group activities including grant writing
- Mentor development of junior team members and train research team members in analysis techniques where necessary
- Represent the group at relevant LSTM committees
Ideally You Will Demonstrate
- PhD in a relevant field (e.g. bioinformatics, genomics, mathematics or statistics with application to genomics/infection)
- Experience of planning and conducting bioinformatic experiments and analyses
- Experience of up-to-date analysis techniques for bacterial genomic data
- Evidence of dissemination of research findings in high-impact journals and conferences
- Ability to work collaboratively in multidisciplinary projects
- Experience of developing and fitting statistical transmission models (desirable)
- Up-to-date knowledge of bacterial antimicrobial resistance (desirable)
Additional Benefits Of Joining LSTM
- 30 days annual leave, plus bank holidays, plus Christmas closure days
- Generous occupational pension schemes
- Government backed “cycle to work” scheme
- Affiliated, discounted staff membership to the University of Liverpool Sports Centre
- A range of additional family friendly policies
Equal Employment Opportunity Declaration
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. LSTM is committed to upholding freedom of speech and academic freedom within the law for all its members. Candidates will not be disadvantaged or adversely impacted for exercising their free speech within the law during our recruitment processes. LSTM actively promotes equal opportunities and safeguarding policies.
Post Doctoral Research Associate (91911) employer: Liverpool School of Tropical Medicine
The Liverpool School of Tropical Medicine is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of global health. With generous benefits such as 30 days of annual leave, a supportive pension scheme, and a commitment to diversity and inclusion, employees are empowered to grow both personally and professionally. The opportunity to engage in meaningful research while working alongside multidisciplinary teams in a vibrant city like Liverpool makes this position particularly rewarding for those passionate about tackling pressing health challenges.
Contact Detail:
Liverpool School of Tropical Medicine Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Post Doctoral Research Associate (91911)
✨Tip Number 1
Network like a pro! Reach out to your contacts in the field of bioinformatics and epidemiology. Attend conferences, workshops, or even local meet-ups to connect with potential collaborators or mentors who can help you land that dream role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous research, analyses, and any publications. This will give you an edge during interviews and demonstrate your expertise in handling genomic and clinical datasets.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues to refine your responses to common questions. Focus on how your experience aligns with the INTERCEPT project and be ready to discuss your approach to bioinformatic analyses.
✨Tip Number 4
Apply through our website! We want to see your application directly. Make sure to tailor your CV and cover letter to highlight your relevant experience and enthusiasm for the project. Let’s get you on board!
We think you need these skills to ace Post Doctoral Research Associate (91911)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience in bioinformatics and epidemiological analyses. We want to see how your skills align with the INTERCEPT project, so don’t hold back on showcasing your expertise!
Show Your Passion:Let your enthusiasm for tackling antimicrobial resistance shine through in your application. We’re looking for candidates who are not just qualified but also genuinely excited about contributing to our research goals.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements, making it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your details correctly and can process your application smoothly.
How to prepare for a job interview at Liverpool School of Tropical Medicine
✨Know Your Research Inside Out
Make sure you’re well-versed in the INTERCEPT project and its goals. Familiarise yourself with the latest research on carbapenem resistance and be ready to discuss how your background in bioinformatics or genomics can contribute to the project.
✨Showcase Your Analytical Skills
Prepare to talk about specific bioinformatic analyses you've conducted in the past. Bring examples of how you've worked with genomic datasets and any statistical models you've developed, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Collaboration is Key
Highlight your experience working in multidisciplinary teams. Be ready to share examples of how you’ve collaborated with others, especially in international settings, and how you can contribute to a team dynamic that spans across different fields.
✨Prepare for Questions on Dissemination
Since publishing and presenting findings is crucial, think about your past experiences in drafting manuscripts and presenting at conferences. Be prepared to discuss how you approach these tasks and any challenges you've faced, along with how you overcame them.