Publisher
source

Imperial College London

Top university

Just Landed

Funded PhD in Blood Proteomics and Cardiovascular Disease at Imperial College London Imperial College London in United Kingdom

Degree Level

PhD

Field of study

Epidemiology

Funding

Full-time 3-year funded PhD studentship starting in 2027. Funding includes a stipend at BHF rates starting from £24,323 per annum, home fees, an annual consumable allowance of £5,000, and a travel fund of £1,000 over 3 years. Overseas students must cover the fee difference from another source.

Deadline

Nov 15, 2026

Country flag

Country

United Kingdom

University

Imperial College London

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Epidemiology
Biomedical Engineering
Biostatistics
Mass Spectrometry
Medical Statistics
Heart Failure
Medical Science
Causal Inference
Salud Pública
Molecular Epidemiology
Statistics
Bioinformatic

Suggested positions

About this position

Funded PhD opportunity at Imperial College London in cardiovascular proteomics, blood proteins, biomarker discovery, bioinformatics, epidemiology, and medical statistics.

The project is titled Using Blood Proteins to Improve the Understanding and Treatment of Heart Disease and is hosted by the School of Public Health at Imperial College London, with supervision from Professor Manuel Mayr and Professor Ioanna Tzoulaki. The research combines mass spectrometry-based proteomics with affinity-based proteomic, genetic, and clinical data from large population cohorts to identify analytically robust proteins, study cardiovascular disease mechanisms, and prioritise biomarkers and therapeutic targets.

Funding is provided jointly by the British Heart Foundation Centre of Research Excellence and the School of Public Health. The studentship covers a 3-year stipend starting from £24,323 per year, home fees, a £5,000 annual consumable allowance, and £1,000 travel support over the 3 years. Overseas applicants may apply, but they must cover the fee difference from another source.

Applicants should have a first- or upper second-class UK bachelor’s degree, a master’s degree, or an overseas equivalent in epidemiology, health data analytics, biostatistics, biomedical sciences, or a related field. Experience with quantitative data analysis and large datasets is required, along with strong communication skills, the ability to review relevant literature, and willingness to complete any project-specific training. Imperial College and English-language requirements must also be met.

To apply, email Dr Magdalena Zak with a CV, at least two academic referees’ contact details, a personal statement of up to 1,000 words, and degree classifications/certificates if available. The closing date is 15 November 2026, and interviews are expected in late November to early December 2026.

Funding details

Full-time 3-year funded PhD studentship starting in 2027. Funding includes a stipend at BHF rates starting from £24,323 per annum, home fees, an annual consumable allowance of £5,000, and a travel fund of £1,000 over 3 years. Overseas students must cover the fee difference from another source.

What's required

Applicants must hold a first- or upper second-class UK bachelor’s degree, a master’s degree, or an overseas equivalent in epidemiology, health data analytics, biostatistics, biomedical sciences or a related subject. They should have experience in quantitative data analysis and managing large datasets, satisfy Imperial College and English-language requirements, have strong communication and interpersonal skills, be able to conduct a detailed literature review, and be willing to undertake any required training.

How to apply

Email Dr Magdalena Zak with your CV, contact details for at least two academic referees, a personal statement (max 1,000 words), and your degree classifications with scanned certificates where possible. Selected candidates will be interviewed in person in late November to early December 2026.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?