At a Glance
- Tasks: Join a dynamic team to analyse complex biomedical datasets and improve cancer diagnosis using AI.
- Company: The University of Manchester, a leading research-intensive university.
- Benefits: Competitive salary, opportunities for impactful research, and collaboration with top professionals.
- Other info: Full-time, fixed-term role with excellent career growth in a collaborative environment.
- Why this job: Make a real difference in cancer treatment through innovative research and technology.
- Qualifications: PhD (or near completion) in relevant fields; experience in machine learning and programming required.
The predicted salary is between 44263 - 44263 £ per year.
The University of Manchester is seeking to appoint a Research Associate or Research Fellow to contribute to an ambitious programme of research within cancer sciences, with a strong focus on digital pathology, artificial intelligence, and data-driven biomedical discovery. The successful candidate will join a dynamic, interdisciplinary research environment and work closely with clinicians, computational scientists, and translational researchers.
The role involves the development and application of advanced computational and statistical methods to analyse complex biomedical datasets, including large-scale imaging and clinical data. The post holder will contribute to ongoing research projects aimed at improving cancer diagnosis, prognosis, and treatment through innovative use of machine learning and AI techniques.
Key responsibilities include:
- Designing and implementing analytical pipelines
- Integrating diverse datasets
- Contributing to study design
- Interpreting results in a clinically meaningful context
- Supporting dissemination of findings through high-impact publications, presentations, and collaborative engagement with academic and healthcare partners
The position offers opportunities to engage in cutting-edge research within a leading research-intensive university, contributing to impactful scientific advancements and improving patient outcomes. The role may be appointed at Research Associate (Grade 6) or Research Fellow (Grade 7) level depending on experience. This is a full-time, fixed-term appointment.
Eligibility Criteria
- PhD (or near completion) in computational biology, bioinformatics, data science, computer science, or a closely related discipline
- For Research Fellow level: significant postdoctoral research experience and a strong publication record
Required Expertise/Skills
- Experience in machine learning, artificial intelligence, or statistical modelling applied to biomedical or imaging data
- Strong programming skills (e.g., Python, R, or similar)
- Experience working with large-scale datasets, including medical imaging or omics data
- Ability to develop and implement reproducible analytical workflows
- Strong analytical, problem-solving, and data interpretation skills
- Excellent written and verbal communication skills
- Ability to work collaboratively in multidisciplinary research teams
- Experience in digital pathology or healthcare data is desirable
Salary Details
- Research Associate (Grade 6): £36,024 – £44,263 per annum
- Research Fellow (Grade 7): £45,585 – £56,021 per annum (depending on experience)
Application Deadline
Not explicitly specified
Research Associate / Research Fellow (Cancer Sciences / Digital Pathology / AI) in Manchester employer: RFCSR
The University of Manchester is an exceptional employer, offering a vibrant and collaborative research environment that fosters innovation in cancer sciences and digital pathology. With access to cutting-edge resources and a commitment to employee development, staff can engage in meaningful research that directly impacts patient outcomes while enjoying a supportive culture that values interdisciplinary collaboration and professional growth.
