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- Tasks: Join a team to create cardiac digital twins using AI and data science.
- Company: Imperial College London is a leading institution in biomedical research.
- Benefits: Enjoy a competitive salary, 39 days off, and support for career development.
- Why this job: Be at the forefront of AI-driven healthcare, making a real impact on patient treatments.
- Qualifications: PhD or equivalent in relevant fields; experience in computational modelling and programming required.
- Other info: Work collaboratively with top institutions like the Alan Turing Institute.
The predicted salary is between 37000 - 46000 £ per year.
This is a unique opportunity for an early career biomedical engineer wishing to develop their research with a multidisciplinary focus, working at the intersection of Artificial Intelligence, data science and biomedical modelling. This post is funded by a UKRI Project Grant.
You will be part of CVD Net and will work collaboratively with other institutions including the Alan Turing Institute, University of Sheffield and University of Nottingham to design and build cardiac digital twins from health data to accurately track changes to disease progression and responses to treatment for patients with pulmonary arterial hypertension (PAH).
You will also be part of the Cardiac Electro-Mechanics Research Group (CEMRG) at Imperial College London which applies statistical, machine learning and simulation approaches to combine experimental and clinical data with physics and biology to study the physiology, pathology, diagnosis and treatment of the heart.
In this post, you will work at the interface of artificial intelligence, data science, and biomedical modelling to accelerate the creation and validation of cardiac digital twins. Your work will contribute to the advancement of digital twin technology in healthcare to enhance cardiovascular health research and improve personalized treatments.
You will facilitate the integration of multiple datasets, including imaging, clinical, and demographic information and develop and apply machine learning techniques to accelerate simulations and extract insights from complex model outputs.
Qualifications:
- A PhD in (or equivalent experience) in Biomedical Engineering, Computer Science, Data Science, AI/ML, Computational Biology, or a related field.
- Knowledge, first-hand experience, and technical proficiency of computational modeling techniques in healthcare or biomedical sciences, cloud-based computing and in programming languages such as Python.
- Experience working with medical imaging and/or mapping data in a research environment and proficiency in data preprocessing, analysis, and interpretation.
- Experience in publishing open-source software and contributing to projects.
This is an exciting opportunity to work in a dynamic, multidisciplinary environment at the forefront of AI-driven biomedical research, combining computational modeling, clinical data science, and artificial intelligence to develop digital twins that improve our understanding of cardiovascular health and disease, ultimately leading to more personalized and effective treatments.
You will be excellent and ambitious and will use the ample opportunities available at Imperial College to further progress toward a fellowship (through grant applications, with institutional support).
Supporting you in developing your career into an independent researcher at a world-leading institution working with the Cardiac Electro-Mechanics Research group led by Prof. Steven Niederer. Sector-leading salary and remuneration package (including 39 days off a year).
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.
Research Associate in Computational Biology employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Computational Biology
✨Tip Number 1
Network with professionals in the field of computational biology and biomedical engineering. Attend relevant conferences, webinars, or virtual job fairs to connect with potential colleagues and mentors who can provide insights into the role and the research environment at Imperial College London.
✨Tip Number 2
Familiarise yourself with the latest advancements in AI-driven biomedical research, particularly in the context of digital twins and cardiovascular health. This knowledge will not only enhance your understanding but also demonstrate your genuine interest in the position during any discussions.
✨Tip Number 3
Engage with the work of the Cardiac Electro-Mechanics Research Group by reviewing their publications and ongoing projects. Being well-versed in their research focus will allow you to ask informed questions and show your enthusiasm for contributing to their goals.
✨Tip Number 4
Consider reaching out to current or former employees of Imperial College London through platforms like LinkedIn. They can provide valuable insights about the work culture and expectations, which can help you tailor your approach when applying for the position.
We think you need these skills to ace Research Associate in Computational Biology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computational biology, AI, and data science. Emphasise any projects or research that align with the role's focus on cardiac digital twins and machine learning.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your motivation for applying to this position at Imperial College London. Discuss how your background in biomedical engineering or related fields makes you a suitable candidate for this multidisciplinary role.
Highlight Technical Skills: Clearly outline your technical skills, especially in programming languages like Python, and your experience with computational modelling techniques. Mention any familiarity with medical imaging and data analysis, as these are crucial for the role.
Showcase Collaborative Experience: Since the role involves working with various institutions, highlight any previous collaborative projects or teamwork experiences. This will demonstrate your ability to work effectively in a multidisciplinary environment.
How to prepare for a job interview at Imperial College London
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Research Associate in Computational Biology. Familiarise yourself with the intersection of AI, data science, and biomedical modelling, as well as the specific projects mentioned, like cardiac digital twins.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computational modelling techniques, programming languages like Python, and any relevant work with medical imaging. Highlight specific projects or publications that demonstrate your proficiency.
✨Prepare for Collaborative Questions
Since this role involves working with multiple institutions, be ready to discuss your experience in collaborative environments. Think of examples where you've successfully worked in a team, especially in multidisciplinary settings.
✨Express Your Ambition
This position is aimed at early career researchers looking to progress. Be sure to articulate your career goals and how this role aligns with your aspirations, particularly regarding fellowship opportunities and independent research.
