Research Associate

Salary: Research Associate level* £45,593 - £47,376

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant until their PhD is awarded

Location: National Heart and Lung Institute (NHLI), Vascular Science Section, Hammersmith and White City Sir Michael Uren Hub

Job Summary

We are seeking a highly motivated scientist to join Prof Manuel’s Mayr collaborative team of research and clinician scientists interested in cardiovascular disease and vascular aging.

The post holder will be working towards the overall objectives of the cardiovascular proteomics research group headed by Prof Mayr. We are looking for an experienced researcher with a data science background in cardiovascular science who will pursue collaborative international research with a project focus on harnessing proteomics data of clinical cohorts and providing expertise in data science and machine learning techniques. Prof. Mayr’s cardiovascular proteomics research group (www.vascular-proteomics.com) has a strong clinical-translational focus and state-of-the-art proteomics equipment dedicated to cardiovascular research. The topic is not predefined other than that the candidate needs to have the ability to conduct excellent science and be keen to take advantage of biomedical mass spectrometry data for their research.

For examples, see the following PubMed IDs: 28319050, 34099652, 33340009, 29030347, 34806902, 34601896, 33149301

Duties and responsibilities

• Develop and undertake research of high quality consistent with making a full active research contribution in line with Faculty/Department/Division research strategy
• Develop and undertake research projects related to data science and machine learning applications in cardiovascular diseases and vascular aging
• Manage specific pieces of activity to an agreed timeline and within a specific budget including literature reviews, data collection and analysis, report writing
• Attend and, as appropriate, present research findings and papers at internal academic meetings and external professional conferences, and contribute to the internal and external visibility of the department
• Work as a conscientious and committed member of the team in order to achieve the aims of the projects and the primary care group
• Facilitate collaboration and networking which engages and supports the activities of the group
• Participate in educational activities as appropriate to the stage of your career
• Participate in the supervision and mentoring of students with projects related to the applicant’s expertise
• To be committed to your own personal career development
• Liaise with the administrative team for the support of the project
• Contribute to publications arising from this project

Essential requirements

• PhD awarded in Biological Sciences or PhD in Biological Sciences near completion
• Knowledge in cardiovascular biology
• Knowledge of basic bioinformatic methods
• Knowledge in the area of extracellular matrix proteins
• Knowledge of research methods and statistical procedures
• Experience in data science and machine learning (ML) techniques
• Experience in the development of new ML algorithms
• Experience in working at the confluence of data science, cardiovascular diseases, and vascular biology
• Practical experience within a research environment and publications in relevant and refereed journals
• Able to interact effectively within a research team and excellent interpersonal skills

Further Information

This post will be offered on an a fixed-term contract for 2 years and full-time post.

Should you require any further details on the role please contact: Prof Manuel Mayr – m.mayr@imperial.ac.uk.

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