We are looking for a skilled post-doctoral bioinformatician and statistical geneticist with initiative and drive, to contribute to research into the biggest medical problem facing the world currently (i.e. COVID-19) - and specifically the genetics of COVID-19.
You will have a unique opportunity to work on data from two internationally renowned cohorts: firstly, TwinsUK; and secondly, the COVID Symptom Study Biobank, based on the COVID-19 ZOE app. Studies of the genetics of COVID-19 will particularly focus on long-COVID, an emerging problem world-wide for survivors of COVID-19, and will include GWAS and Mendelian randomisation studies into this disabling disorder. The opportunity to contribute to the study of COVID-19, through genetic dissection of long-COVID, and, potentially, to vaccine responses, through investigation of these unique and large datasets is both unprecedented and of huge international importance, given both the pandemic and development of effective vaccination.
Applicants are expected to be able to direct research independently and have a good breadth of knowledge of genomic and immunological research methodologies and background. This post-doctoral position will also be expected to write papers, review papers, and supervise and mentor research assistance and students, in a highly supportive environment for both early- and mid-career researchers.
This post will be offered on a fixed term contract for 24 months
This is a full-time post
• Undertake original and state of the art biomedical research as an integral member of a group working on using genomics investigating long-COVID and the analysis of potential strategies in these populations.
• A strong working knowledge of modern bioinformatic strategies for use of resources such as the UK Biobank, the GWAS e-catalogues, imputation platforms, databases of genetic variation such as gnOMAD, ClinVar, etc.
• Perform DNA genotyping analysis and sequencing analysis (whole genome, whole exome), including GWAS and Mendelian randomisation studies
• Perform RNA sequencing analysis, including single-cell sequencing analysis
• Assist with proteomic analysis of blood and tissue samples
• Development and assessment of polygenic risk scores
• A working knowledge of twin methodology would be desirable but not essential.
• Maintain up-to-date, accurate and comprehensive laboratory notes
• Assist, supervise and train other members of the group, including students and other research staff in their application in related lab projects.
• Manage the progress and set goals for achievement of project aims in collaboration with team leaders including the execution of literature reviews, data collection and analysis, and report preparation.
• Prepare reports on results for verbal and multimedia presentations at regular lab meetings, departmental seminars, national and international meetings.
• Prepare manuscripts for publication in peer review journals or book chapters
• Facilitate collaboration and networking which engages and supports the activities of this research.
• Identify areas for research, develop new research methods and extend the research portfolio
• Contribute to collaborative decision making with colleagues in area of research
• Deal with problems which may affect the achievement of research objectives and deadlines
• Implement new technological approaches to solve problems
• Contribute to decisions affecting the work of the team
• Take initiative to undergo relevant training
• Responsible for identifying stakeholder (e.g. students, colleagues, external bodies) needs and ensuring these are met.
• Provide expert advice in subject area
• Set the standards of service and ensure overall quality is maintained
• Develop research objectives and proposals for own or joint research, with the assistance of a mentor
• Conduct individual and collaborative research projects
• Write up research work for publication in scientific journals
• Continually update knowledge and understanding in field
• Translate knowledge of advances in the subject area into research activity
• Analyse and interpret research data and draw conclusions on the outcomes
• Actively participate as a member of a research team
• Attend and contribute to relevant meetings
• Provide mutual support to the team, acting as a role model for good practice
• Set up and maintain relevant laboratory equipment for use by self or others.
• Supervise the research activities of undergraduate and postgraduate students engaged in related research under the direction of group leaders.
• Balance with help the competing pressures of research and administrative demands and deadlines
• Be aware of the risks in the work environment and their potential impact on own work and that of others
• Show consideration to others
Skills, knowledge, and experience
• PhD awarded or near completion in Human Genetics or Immunogenetics
• Strong background in human genetics and functional genomics including knowledge of the field and expertise in research methodology
• Sound knowledge of genomics, transcriptomics and proteomics field and research methodology
• Knowledge of bioinformatics analysis methods, including ability to analyse transcriptomic data
• Experience in writing scientific articles /grants
• Experience in genomics methodologies including DNA genotyping and sequencing and RNA-sequencing, including preferably single-cell sequencing
• Laboratory experience in genomics, transcriptomics and proteomics.
• Keen interest in immunogenetics and immune-mediated disease research
• Organised and systematic approach to research
• Self-motivated, with the ability to work under pressure & to meet deadlines
• Experience with working with mouse models
• Extensive experience in conferences, oral presentations and posters
• Good publication records
The post holder will need to be independent and self-driven. They will benefit from prior experience managing large datasets. There are multiple opportunities that will arise from working with the existing and evolving multi-omics data in COVID-19 (particularly long-COVID and responses), as well as immunology and bone datasets. The position will allow many exciting opportunities to interact with a wide variety of researchers, from clinical to epidemiologists to immunologists and cell biologists.
This post is predominantly supervised by Prof Emma Duncan, with additional input from Prof Matthew Brown.
This post is subject to Disclosure and Barring Service and Occupational Health clearance.
To discover more and apply please go to: https://jobs.kcl.ac.uk/gb/en/job/012525/Senior-Postdoctoral-Bioinformatician-Genetics-Department-of-Twin-Research-Genetic-Epidemiology
Closing date: 7th February 2021