Queen Mary School of Business & Management
About the Company
The School of Business and Management at Queen Mary University of London is a business school with a difference. We place great emphasis on the connections between business and society.
We are not only a school with a strong commitment to the highest quality of research and outstanding teaching, but we are also proud of our reputation as a socially-engaged management school, with an innovative, multidisciplinary, mindful and responsible approach to business and management.
Listed Jobs
- Company Name
- Queen Mary School of Business & Management
- Job Title
- Postdoctoral Research Associate or Computational Biologist
- Job Description
-
Opportunity ID
4642
Faculty
Medicine & Dentistry
Location
QM London
Contract Type
Fixed Term
Duration
2 - 3 years
Working Patterns
Full Time
Full Time Equivalent (FTE)
1.00
Working Hours (Per Week)
35.00
Salary Range
PDRA (£37,889 - £45,974) / Computational Biologist (£32,804 - £39,463)
Job Pack
Opp 4642 - JP.pdf – 702KB Opens in a new window
Contact Details
Ines Sequeira - Senior Lecturer
i.sequeira@qmul.ac.uk
About The Role
About the Role
We have an opportunity for either a Post Doctoral Research Associate or Computational Biologist* to join the dynamic lab of Dr Inês Sequeira (https://www.sequeira.science/), who co-leads the Oral and Craniofacial Network within the Human Cell Atlas (https://www.humancellatlas.org/biological-networks/). Embedded in an exciting environment at QMUL, you'll have access to state-of-the-art facilities and the latest computational pipelines for multi-omics analysis. This is a fantastic opportunity to be involved in pioneering research that uses multi-omics data to advance human health, focusing on unlocking the mysteries of complex diseases like Epidermolysis Bullosa. The collaborative atmosphere and cutting-edge technologies available in Dr Sequeira’s lab and her network will provide a fertile ground for innovative discoveries.
About You
As a Postdoctoral Research Associate, you will have the opportunity to lead a pioneering project exploring the genetic and molecular underpinnings of Epidermolysis Bullosa (EB), with a focus on developing personalised medicine. This role offers the chance to dive into big data, integrating single-cell RNA sequencing and spatial proteomics using the latest computational methods. You will not only employ cutting-edge multi-omics analysis pipelines but also develop new computational techniques to study cellular communication and investigating new targets for drugs re-purposing.
This role is a fantastic opportunity for someone passionate about leading innovative research and making impactful contributions to the field of computational biology.
You will hold a PhD (or close to completion) in Biology, Biochemistry, Bioinformatics, Computational Biology, with strong experience in analysing large multi-modal datasets and proficiency in Python and R. A solid background in single-cell and spatial transcriptomics is desirable. You should have experience working in interdisciplinary teams, bringing together computational, experimental, and clinical expertise to advance ground-breaking research. This is the ideal role for a researcher who thrives on problem-solving, innovation, and contributing to international collaborations aimed at translating cutting-edge discoveries into clinical applications.
As a Computational Biologist ,you'll be at the forefront of cutting-edge research, leveraging big data to explore new therapeutic targets for personalised medicine in Epidermolysis Bullosa (EB). This role offers an exciting opportunity to work with advanced multi-omics technologies and cutting-edge data integration pipelines.. This is a unique chance to contribute to transformative research in an interdisciplinary, global environment. Your work will focus on developing computational methods to analyse single-cell RNA sequencing and spatial proteomics data, driving discoveries in cellular communication and disease mechanisms
We're looking for an enthusiastic individual with an MSc in Computational Biology, Data Science, who thrives on working with large-scale multi-modal datasets. You should have strong skills in Python and R, with experience in high-throughput data analysis. This role is perfect for someone passionate about pushing the boundaries of personalised medicine through computational biology, with a keen interest in single-cell omics and spatial transcriptomics.
Both roles provide an opportunity to collaborate with peers and international experts Queen Mary University of London, EB House (Austria), King’s College London, and the Human Cell Atlas Consortium.
Progress to the next stage and any subsequent appointment will be made in merit order, not by grade. Whilst the requirements for each post are different and will be assessed as such, there will be consistency in the assessment process, ensuring a single merit list can be produced.
Reasonable adjustments will be made at each stage of the recruitment process. For information on the benefits we offer please visit qmul.ac.uk/human-resources/workqm/benefits/
Closing Date
06/04/2025, 23:55
London, United Kingdom
On site
20-03-2025
- Company Name
- Queen Mary School of Business & Management
- Job Title
- Postdoctoral Research Associate in Omics Science
- Job Description
-
Opportunity ID
5659
Faculty
University Research Institutes
Location
QM London
Contract Type
Fixed Term
Duration
until 04 May 2026 in the first instance
Working Patterns
Full Time
Full Time Equivalent (FTE)
1.00
Salary Range
£48,452 - £51,040 per annum
Job Pack
JP 5659 Postdoctoral Research Associate in Omics Science.pdf – 658KB Opens in a new window
Contact Details
Professor Segun Fatumo
s.fatumo@qmul.ac.uk
About The Role
About the Role
We have an opportunity to join the Institute for Multi-omics, working with some of the world leaders in the genetic discovery of molecular traits, that underlay disease mechanisms.
We have multiomic repositories from our culturally-diverse local East London population and genomic datasets from continental Africa.
The successful candidate will undertake research investigations in collaboration with and under the supervision of Professor Segun Fatumo. The Postdoctoral Research Assistant will contribute to the intellectual life of PHURI and wider institution and research field of multiomics science.
About You
We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop bioinformatics workflows that integrate population-scale genomics with other omics data, contributing to the advancement of molecular precision healthcare.
You will also have the opportunity to integrate omics research with other thematic foci for PHURI in our multidisciplinary institute. We are an ambitious, curious and enthusiastic international team, that promotes scientific excellence and career development in the context of happy family and other demands.
About The Institute
PHURI unites world-leading expertise from Queen Mary University of London (QMUL), nationally and internationally to drive research excellence and expedite impact. Our multidisciplinary teams will address research across four interconnected centres:
Health data and analytics;
Multiomics and single cell analyses;
MedTech and Devices
Therapeutic Innovation
These centres will come together to create a complete journey from disease identification, through the development of a therapy or intervention, to translation for patients in the clinic. This integrated approach is a distinguishing feature of PHURI.
PHURI builds on the close partnership between Queen Mary University of London and Barts NHS Trust, continuing our shared focus on accelerating the latest healthcare innovations from the bench to bedside. We will work closely with Barts Trust to ensure that our research is focused on where it’s needed most, we will use real-world clinical data to drive the development and targeted prescription of treatments based on patients’ needs. This will help to build a stronger health service for the people of East London, the UK and the world.
About Queen Mary
At QMUL, we believe that a diversity of ideas helps us achieve the previously unthinkable.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Closing Date
02/04/2025, 23:55
London, United Kingdom
On site
20-03-2025
- Company Name
- Queen Mary School of Business & Management
- Job Title
- Postdoctoral Research Associate
- Job Description
-
Opportunity ID
5354
Faculty
Medicine & Dentistry
Location
QM London
Contract Type
Fixed Term
Duration
3 years
Working Patterns
Full Time
Full Time Equivalent (FTE)
1.00
Salary Range
£43,305 to £50,685 per annum
Job Pack
Opportunity 5354 - PDRA - JP.pdf – 654KB Opens in a new window
Contact Details
Julia Hippisley-Cox, Professor of Clinical Epidemiology and Predictive Medicine, julia.hippisley-cox@qmul.ac.uk
Rohini Mathur, Professor Of Health Data Science, r.mathur@qmul.ac.uk
About The Role
About the Role
This is a new post at the forefront of medical research using very large clinical research databases. It lies at the interface between epidemiology, medical statistics, data science and clinical medicine. The successful candidate will provide support for a range of research activities with a strong focus on prediction modelling, primary care, and medication safety. The research undertaken by the group covers a broad range of medical topics including cardiovascular disease, cancer and safety of medicines in pregnancy. The post-holder will undertake original research through the complex analysis of data from the anonymised medical research databases. This postholder will work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in Pregnancy.
About You
The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and has begun an academic career in data science, medical statistics, epidemiology or health services research.
About The School/Department/Institute/Project
The Wolfson Institute of Population Health harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognised centre of excellence in population health, primary care and preventive medicine.
The postholder will work in the newly established Predictive Medicine Group, within the Centre for Primary Care within the Institute. The Group, which has recently relocated to Queen Mary University of London (QMUL), is composed of academics, researchers, clinicians, data scientists and software engineers. The Group specialises in the advanced analyses of large electronic health care record databases, such as QResearch, to generate new knowledge to drive improvements in patient care for a wide range of clinical conditions. This includes the development, validation of prediction algorithms and their implementation as clinical tools into the NHS
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Closing Date
30/03/2025, 23:55
Provisional Interview Date
9 April 2025
London, United Kingdom
On site
25-03-2025
- Company Name
- Queen Mary School of Business & Management
- Job Title
- Student Summer Placement
- Job Description
-
Opportunity ID
5373
Faculty
Science & Engineering
Location
QM London
Contract Type
Temporary
Duration
8 Weeks
Working Patterns
Full Time
Full Time Equivalent (FTE)
2.00
Working Hours (Per Week)
35.00
Salary Range
£14.48 per hour + holiday pay
Job Pack
5373 - Student Summer Placement - JP.pdf – 612KB Opens in a new window
Contact Details
Dr Heli Hietala - Lecturer in Space Plasma Physics. h.hietala@qmul.ac.uk
About The Role
About the Role
The QMUL School of Physical and Chemical Sciences/Astronomy Unit offers the opportunity for undergraduate students, both internal to QMUL and external (from other universities), to join our research groups over the summer to take part in, and contribute to, the research being done by the different groups.
Research in the Space and Astrophysical Plasmas group of the Astronomy Unit falls under three main themes: particle acceleration by processes such as shockwaves; turbulence; and space weather, and each year we offer opportunities for students interested in these areas.
Each year, there will be events organised for the cohort of internship students to meet each other, interact, learn about each other's projects, and experience what working on cutting-edge research topics in a leading research group is like.
A (non-exhaustive) Selection Of Projects
Comparing spacecraft observations of shockwaves across the Solar System from Sun to Uranus and beyond
Identifying small-scale structures near shockwaves in spacecraft observations
About You
You will currently be studying for a degree in Physics and/or Astronomy. You will have Knowledge of one or more of the following areas: electrodynamics, fluid dynamics, plasma physics, data analysis, and/or coding relevant to the project, demonstrated by academic performance. You will be able to assist with conducting original research around the research programme. You will also be able to work successfully as part of a team, towards a shared vision.
How To Apply
Please prepare a single PDF document containing the following:
CV (detailing your academic achievements/experience and any other relevant expertise)
Grade transcript(s).
A statement of interests (include which project/s you are interested in).
Please upload this to the “CV” section of the online form.
About The Department
The Department of Physics and Astronomy hosts world-class research centres across a range of areas in modern physics: Astronomy, Experimental Particle Physics, Theoretical Physics, and Condensed Matter & Materials Science. The Space & Astrophysical Plasmas group is part of the AU, which also hosts leading groups in Cosmology and Planetary Physics, and has a long history of high-quality research, taking major roles in many large international projects.
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Closing Date
27/03/2025, 23:55
London, United Kingdom
On site
25-03-2025