- Reference Number
- Gilmorehill Campus / Main Building
- College / Service
- COLLEGE OF MVLS
- RI INFECTION IMMUNITY & INFLAMMATION
- Job Family
- Research And Teaching
- Position Type
- Full Time
- Salary Range
- Marie Curie salary
European researchers have made leading contributions to the large genomic, transcriptomic and clinical datasets from patients with chronic diseases. Advances in information science provide unprecedented opportunities for using these datasets to elucidate the complex biology of these disorders, its influence by environmental triggers, and to personalise their management. Currently, exploitation of these opportunities is limited by a shortage of researchers with the required informatics skills and knowledge of requisite data protection principles. HELICAL addresses this unmet need by developing a trans-sectoral and interdisciplinary training programme that provides 15 early stage researchers with training in analysis of large datasets, using autoimmune vasculitis as a paradigm, as comprehensive biological and clinical datasets are already available. The programme will be delivered through a multidisciplinary, trans-sectoral partnership of Academic and Industry researchers with expertise in basic biomedical research, epidemiology, statistics, machine learning, health data governance and ethics. Therefore, HELICAL exploits recent advances in data science to link research datasets with longitudinal healthcare records, based on the robust ethical foundation required for linkage studies using near-patient data, to address key experimental questions.
The candidate is expected to have interest in statistics and computer science. As the project focusses on training, there is an expectation that the candidate will submit PhD in the field relevant to the project and publish the results in journals of good impact. The candidate is expected to attend and contribute to the workshops and secondments as specified in the project programme.
2. To contribute to research papers, present reports at lab meetings, give internal seminars, as well as talks and posters at national and international meetings in order to maintain University recognition and enhance the research profile of the group.
3. To develop professional skills in processing and analysis of research datasets
4. To collaborate with members of the group in order to deliver the research results.
5. To support colleagues and supervise less experienced members of the group to assist the development of research skills and the delivery of results.
6. To keep up to date with current developments and research literature in the field.
7. To train in areas relevant to the HELICAL ITN and submit a PhD.
8. To contribute to Institute / College wide research-related activities and research-related administration
9. To attend and contribute to the workshops and secondments specified in the programme. The HELICAL ITN is highly integrated and so the appointee will also have the opportunity to acquire additional skills through regular meetings, workshops and seminars, and through secondments to other partners in the HELICAL network.
10. Engage in personal, professional and career development to enhance both specialist and transferable skills in accordance with desired career trajectory.
11. Undertake any other duties of equivalent standing as assigned by the Director of Institute and / or PI.
A1 Good (equivalent to first class or upper second) BSc or equivalent undergraduate degree in relevant area
A2 Working knowledge of spoken and written English
A3 Up to date knowledge of subject area, practical and theoretical
B1 Knowledge of statistics at undergraduate level or above
B2 A Master’s degree or the degree that makes the candidate eligible to initiate PhD in relevant areas.
B3 Practical and theoretical knowledge in the research areas of computer science
B4 Project-specific experience in the area of epidemiology
C1 Excellent interpersonal skills to allow working as part of a team.
C2 Strong writing and presenting skills.
C3 Ability to plan, design and develop laboratory experiments in the area of studies of sensors, fabrication and electronic devices.
C5 Appropriate workload/time/project/budget/people management skills
C6 Extensive IT and data analysis/interpretation skills as appropriate.
C7 Self motivation, initiative and independent thought/working
C8 Problem solving skills including a flexible and pragmatic approach
D1 Relevant research experience
D2 Experience of scientific writing
D3 Proven ability to deliver quality outputs in a timely and efficient manner
E1 Writing reports or research papers
Collaborate and interact with members of the research group
Collaborate and interact with members of the international consortium, in particular via secondments to other consortium partners
Deliver reports at lab meetings
Provide data for a thesis and at least one publication
Attend and contribute to consortium workshops.
Assist in the transfer of skills to other members of the consortium
Planning and Organising
Plan, design and organise programs in consultation with the Principal investigator to explore field of study
Respond to discussions of results with Principal Investigators.
Be able to clearly summarise, interpret and analyse outcomes of experiments, suggest further plans and new directions
Keep accurate and organised records.
Co-ordinate with co-workers experiments
Decide in consultation with the PI appropriate strategies for analysis and interpretation of results.
Decide in consultation with the PI and co-authors the content of presentations and publications
Evaluate the use of particular approaches and techniques
Purchase of appropriate supplies
Liaise with research group and colleagues to exchange information to ensure efficient working.
Interact with external collaborators to organise joint research
With specialist companies for purchase of reagents
With other members of the Consortium to gain input and expertise
Maintain contact with (including membership of) appropriate professional bodies
Assess different interpretations and analyses of data.
Deal with technical problems in the lab.
Identify software requirements to solve data analysis problems
This EU funded programme has an agreed salary for the employee based on a legal agreement signed by the EU and the University of Glasgow. This is a statutory rate that must be provided.
The post is for 1 early stage researcher (ESR) who will undertake a 3 year PhD studentship as part of the H2020-MSCA-ITN-2018 HELICAL (Co-ordinator: Professor Mark Little, Trinity College Dublin, TCD). HELICAL is an EU-funded Marie Curie Innovative Training Network (ITN) with 17 Academic Partners (TCD (IRL); MedUni Vienna (A); University of Glasgow, Farr Institute, University of Leeds, Leeds Institute for Data Analytics (UK); Universite Paris Diderot (F); Kungliga Tekniska Hoegskolan, Uppsala Universitet (S); Consorci Institut d´Investigations Biomediques, Consejo Superior De Investigaciones Cientificas, Instituto de Salud Global de Barcelona, Instituto de Investigaciones Marques de Valdecilla, Universitat de Barcelona, Universitat Autónoma de Barcelona (E); Charles University (CZ); Ghent University (B)) and nine Non-Academic Partners (Tissuegnostics (A); IBM Zurich (CH), patientMpower (IRL); Anaxomics Biotech (E); Firalis (F); European Institute for Innovation in Health Data (B); RITA European Reference Network, Laser Analytica, Eagle Genomics (UK)). The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies.
The present post will benefit from a multi-disciplinary supervisory team (Dr Neil Basu, Prof Duncan Lee and Dr Breda Cullen) which will support and cultivate mathematical, epidemiological and clinical learning. The project is entitled Models for autoimmune disease onset prediction harnessing both clinical and environmental data sources. Using clinical registry and population cohort data available through the HELICAL consortium, the successful applicant will seek to integrate these datasets and learn to handle and overcome the associated technical challenges. Then, by linking these data with openly accessible environmental data (e.g. air pollutants), he/she will develop predictive models of disease onset in vasculitis - a rare autoimmune disease where an environmental contributory cause is suspected but yet to be identified.
HELICAL is funded under the H2020-MSCA-ITN-2018 designed to promote movement of researchers in Europe and so is open to researchers from any country in the world provided they have not carried out their main activity (work, studies, etc.) in the UK for more than 12 months in the 3 years immediately before the recruitment date. HELICAL pursues a policy of equal opportunities on matters of gender and disability and will seek to recruit an equal proportion of male and female applicants and will provide employment opportunities for candidates with disabilities. Where applications of equal quality are received, preference will be given to female candidates as part of a strategy designed to recruit equal numbers of men and women to the HELICAL posts. Employment procedures and contracts will conform to the European Charter for Researchers / Code of Conduct for the Recruitment of Researchers.
University of Glasgow, United Kingdom
The University of Glasgow is in the world's top 100 universities and the UK's top 10. We have been welcoming world changers since 1451 and have dedicated ourselves to inspiring great minds from the pioneer of television, John Logie Baird, to writer and produce of Doctor Who and Sherlock, Steven Moffat. Today we continue that tradition with more than 18,000 undergraduate students and 7,000 postgraduate students from across the globe each year.
Why choose the University of Glasgow?
• 84% student satisfaction (Postgraduate Research Experience Survey 2017)
• Top 100 in the world-Times Higher rankings 2018
• UK’s first UNESCO’s city of Music, host to around 130 music events every week
• First in the International category at the prestigious Whatuni Student Choice Awards 2018
• Consistently voted as the top place to shop in the UK, outside of London
• Member of the prestigious Russell Group of 26 leading UK research intensive universities in the UK
• Founder member of Universitas 21, an international grouping of universities dedicated to setting worldwide standards for higher education
• Located in Glasgow's unique west end – UK's 3rd largest city
Excellence in teaching
Our research-led approach is one of the reasons why a postgraduate degree from the University of Glasgow is so prized, but our students also benefit from opportunities to study abroad, improve their employability, take part in work placements and explore a wide range of social activities. As a result, we welcome students from more than 120 countries around the world every year. We make sure our graduates are equipped with the skills they need to compete in a global workplace, and with friendships and networks that last a lifetime.
Salary: Approx. £35,000 - £40,000 per annum*
This post is fixed term for 3 year.
Interviews for this post will take place weeks commencing 11 March and 18 March 2019.
New entrants to the University will be required to serve a probationary period of 6 months.
According to the regulations for mobility within the ITN programme, the researcher must not have carried out his/her main activity (work, studies, etc) in the country of his/her host organisation (in this case, the United Kingdom) for more than 12 months in the 3 years immediately prior to recruitment.
The researcher should not have obtained a PhD degree and should not have more than 4 year full-time or equivalent research experience since obtaining the degree which makes them eligible for starting the PhD degree.
*Approximate gross salary stated above is subject to employers NI deductions and the amount varies according to the living costs of host country.
Apply for this job