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- Tasks: Develop and enhance the OrthoFinder method for comparative genomics research.
- Company: Join the prestigious Kelly lab at the University of Oxford, a leader in biological science.
- Benefits: Enjoy a competitive salary, diverse work environment, and opportunities for impactful research.
- Why this job: Be part of groundbreaking research that shapes our understanding of evolution and health.
- Qualifications: PhD-level scientists or software engineers with data analysis and programming skills are encouraged to apply.
- Other info: This is a full-time, fixed-term position for 3 years, closing on 4th July 2025.
The predicted salary is between 38674 - 46913 £ per year.
We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution.
The aim of this project is to understand the evolution of the membrane proteome across the tree of life.
The main responsibilities will be to identify ancient gene families that encode membrane proteins and then use a range of phylogenomic methods to understand their ancestry.
These analyses will include comparisons from within the Fungi to comparisons stretching back to the last universal common ancestor.
You must be able to conduct a range of bioinformatic approaches involving the use of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example for differential rate correction).
About you The successful applicant will hold, or be close to completion of, a relevant PhD/DPhil in bioinformatics, comparative genomics and phylogenetics, together with relevant experience in understanding eukaryotic microbial diversity.
You will possess sufficient specialist knowledge in the discipline to work within established research programmes.
Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings are essential.
The University of Oxford is committed to equal opportunity, and to being a place where everyone belongs and is supported to succeed.
We recognise how the diversity of our community enriches our ability to deliver on our academic mission.
We welcome applications from individuals from all backgrounds, including those under-represented within higher education.
No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
This post is full time (although flexibility in the appointment is possible), until 30 June **** and available immediately.
Postdoctoral Research Associate In Phylogenomics employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate In Phylogenomics
✨Tip Number 1
Familiarise yourself with the OrthoFinder method and its applications in comparative genomics. Understanding its functionalities will not only help you during interviews but also demonstrate your genuine interest in the project.
✨Tip Number 2
Showcase your experience with data analysis and visualisation tools relevant to the role. Be prepared to discuss specific projects where you've used technologies like Bokeh or Streamlit, as this will highlight your practical skills.
✨Tip Number 3
Network with current or former members of the Kelly lab or similar research groups. Engaging with them can provide insights into the lab culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare thoughtful questions about the future direction of the OrthoFinder project and how you can contribute. This shows your enthusiasm for the role and your commitment to advancing the field of comparative genomics.
We think you need these skills to ace Postdoctoral Research Associate In Phylogenomics
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Postdoctoral Research Associate position. Highlight your relevant experience in data analysis, programming, and any specific tools mentioned like Bokeh or Shiny.
Tailor Your CV: Customise your CV to reflect your skills and experiences that align with the role. Emphasise your background in comparative genomics, data visualisation, and any previous projects that demonstrate your ability to develop interactive web applications.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for advancing comparative genomic research. Mention how your unique background can contribute to the OrthoFinder project and the Kelly lab's goals.
Address Covid-19 Impact: If applicable, include a paragraph in your supporting statement explaining any disruptions caused by Covid-19 that may have affected your work or research outputs. This shows transparency and helps the selection committee understand your circumstances.
How to prepare for a job interview at University of Oxford
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis and visualisation tools. Highlight any projects where you've developed interactive web applications, as this is crucial for the role.
✨Understand OrthoFinder
Familiarise yourself with the OrthoFinder method and its applications in comparative genomics. Being able to discuss its significance and potential improvements will demonstrate your genuine interest in the project.
✨Express Your Passion for Research
Convey your enthusiasm for advancing comparative genomic research. Share specific examples of how you hope to contribute to the field and what excites you about the potential discoveries.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving. Prepare examples from your past experiences that showcase your ability to work collaboratively and overcome challenges in research settings.
