Research Assistant/Associate

Imperial College London


Job description
Job summary

The YangLab (www.yanglab.fyi) at Imperial College is currently seeking two motivated and skilled Research Assistant(s) or Postdoctoral Research Associate(s) to join our team in tackling the complex challenges posed by delirium. This pioneering interdisciplinary project, generously supported by the Wellcome Leap, aims to revolutionize approaches in measuring and comprehending resilience in individuals affected by delirium. The YangLab, based at Imperial College, stands at the forefront of AI development in this ground-breaking research initiative.

As a Research Assistant or Postdoctoral Research Associate, you will play a pivotal role within our dynamic team, collaborating closely with a diverse array of experts including engineers, mathematicians, computational biologists, experimentalists, and clinicians. Together, we will harness our collective knowledge to craft advanced measurement scales tailored specifically for delirium. Your contributions will be instrumental in advancing our comprehension of resilience in elderly patients, ultimately leading to more effective and personalized interventions.

This is an exceptional opportunity for individuals passionate about making a tangible impact on the well-being of elderly patients through cutting-edge research. By joining our dynamic and collaborative team at the forefront of delirium research, you will have access to state-of-the-art facilities and resources, providing the support needed to excel in your role.

Duties and responsibilities

Your key responsibilities will encompass conducting machine and deep learning data analysis of clinical and experimental data, developing diagnostic and grading models for delirium, and taking initiative in planning and conducting independent scientific work with appropriate supervision. You will also identify and develop suitable machine and deep learning techniques for data analysis, ensuring the validity and reliability of analyses at all stages. Precise and organized record-keeping of your work will be essential, along with reporting research activities internally and externally.

In addition, you will have the opportunity to present findings to colleagues and at national/international conferences, and publish in high-quality refereed journals. Collaborative efforts with clinical and industry partners, as well as allied scientists, will be crucial to ensure the successful implementation of developed technology in real-world settings. Participation in relevant workshops and conferences, along with the development of contacts and research collaborations within the College and wider community, will further enrich your role.

Furthermore, you will actively contribute to the reputation of the Group, Department, and College, and play a key role in writing grant proposals to secure funding for the research program. Engaging in the research program of the group, attending and contributing to group research meetings and internal seminars, and assisting in the supervision of undergraduate and postgraduate research students and research assistants as required are integral parts of this role.

Lastly, compliance with the College, Division, and Unit safety practices and attendance of safety courses as appropriate will be essential for maintaining a safe working environment. Any other duties deemed reasonable by the Head of the group, as well as Head of Division/Department/Section, may also be assigned.

Essential requirements

Education: Candidates for this position should possess a PhD in AI for Digital Healthcare or a closely related field. Alternatively, individuals with equivalent research, industrial, or commercial experience will also be considered. For those who have not yet officially received their PhD, they may be appointed as Research Assistants.

Experience: Ideal candidates will have practical experience within a research environment and a track record of publications in relevant and refereed journals. Specifically, experience in journals such as the IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Medical Imaging, and bioinformatics-related journals is highly valued. Additionally, candidates should demonstrate experience in handling both imaging and non-imaging biomarkers, as well as proficiency in data labelling. A broad range of programming techniques, particularly in Python/PyTorch, is also essential. Experience in overseeing undergraduate and/or masters level projects is preferred. Proficiency in computational tools, particularly in machine and deep learning, is a key requirement.

Knowledge: Candidates should possess knowledge in medical data and knowledge graphs. Familiarity with research methods and statistical procedures is crucial. Additionally, a solid understanding of various computer programs, along with experience in data presentation and statistical analyses, is expected. Expertise in data curation, data augmentation, and harmonisation is also highly beneficial.

Skills & Abilities: The ideal candidate should demonstrate the ability to conduct a detailed review of recent literature and have a creative approach to problem-solving. They should be adept at developing and applying new concepts. Strong verbal communication skills, enabling effective interaction with a diverse range of individuals, are important. Likewise, excellent written communication skills, particularly in the context of publication, are essential. The candidate should be capable of independently organizing their work and prioritizing tasks in response to deadlines. Advanced computer skills, encompassing word-processing, spreadsheets, and internet usage, are a prerequisite. Moreover, the candidate should be able to lead a small research team, providing direction and motivation to ensure high-quality output.

Further information

These two posts will be funded for 3 years with 1 year possible extension.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £38,194 – £41,888 per annum.

Should you require any further details on the role please contact: Dr Guang Yang – [email protected].

Any queries regarding the application process should be directed to Yusra Vallimohamed at [email protected]

The College is currently trialling a Work Location Framework. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances.

Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

Imperial Managers lead by example.

Closing Date: 4 weeks from the date of posting

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