Research Associate in Mechanical Engineering

Polytechnicpositions; Cambridge; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading research institute is seeking a Research Associate in Mechanical Engineering to develop machine learning methods for analyzing multimodal data in breast cancer research. The successful candidate will work closely with renowned scientists, contribute to high-impact publications, and support the development of clinically useful algorithms.

Qualifications

• Experience in machine learning and data analysis.
• Strong communication skills for diverse audiences.
• Ability to manage and support research teams.

Responsibilities

• Line manage and develop Research Associates and PhD Students.
• Support computational research projects across PBCI and the University.
• Collaborate with multi-disciplinary teams and communicate effectively.

Skills

Machine Learning

Data Analysis

Teamwork

Communication

Education

PhD in Mechanical Engineering or related field

Job description

Research Associate in Mechanical Engineering

Breast cancers comprise complex biological processes that function in compound microenvironments of malignant tumour cells. Incorporating and analysing multimodal data can offer a better understanding of the underlying cancer mechanisms, leading to more accurate diagnosis, prognosis, and treatment planning. Breast cancer research produces complex multimodal data at different scales, including clinical, imaging (radiology and digital pathology), and genomic or transcriptomic profiles.

The successful candidate will play a pivotal role in revolutionising patient care through the design, development, and application of novel machine learning methods to analyse and interpret large-scale multimodal data, primarily from large clinical trials and studies. The role involves working closely with renowned scientists, liaising with project teams and external users, contributing to research publications, and collaborating with clinical experts to optimise data interpretation and use.

About PBCI

At PBCI, we foster a collaborative and supportive environment that values teamwork, respect, and open communication. We aim to create a space where ideas thrive and individuals flourish, supporting our shared goal of improving breast cancer treatments and outcomes.

Responsibilities

• Line manage, support, and develop Research Associates and PhD Students.
• Support computational research projects across PBCI, the University, and Cambridge University Hospital.
• Work as part of a multi-disciplinary team and communicate effectively with diverse audiences.

Join Us

Contribute to developing clinically useful algorithms, publishing high-impact research, and advancing personalised breast cancer treatments. Collaborate with world-class researchers, analyze cutting-edge data, and be part of a transformative journey. Apply now and be a catalyst for change in the global fight against breast cancer.

Contact and Application

For questions about the position and PBCI, contact Prof Jean Abraham ([e-mail]) and Dr Joanna Worley ([e-mail]). Please submit your application via our online system, including a cover letter and CV, and provide referees' contact details.

Additional Details

Fixed-term: until 31 August 2027.

This role requires a Research Passport application. Appointment as an SRA depends on evidence of an independent research reputation and approval by the Faculty Board.

Application deadline: 22nd June 2025. Interview period: 30th June - 11th July 2025. Quote reference RD46031.

We support equality, diversity, and inclusion and encourage applications from all sections of society. The university ensures eligibility to work in the UK.