Research Assistant/Associate in Machine Learning for Healthcare

RFCSR; Cambridge; On-site; GBP 30,000 - 44,000; Full time

Job summary

University of Cambridge invites applications for a Research Assistant/Associate in Machine Learning for Healthcare. The role focuses on developing advanced ML methods to improve clinical decision-making and patient outcomes.

You will design, implement and evaluate models on large healthcare datasets, collaborating with clinicians and translational researchers. The post may involve teaching or mentoring within the department and dissemination of findings.

Qualifications

• Strong background in ML/AI or statistical modelling.
• Experience with large healthcare datasets.
• Proficiency in Python and ML frameworks.
• Ability to design, implement, and evaluate computational models.
• Strong analytical and communication skills.

Responsibilities

• Design and implement machine learning models for healthcare.
• Analyse complex healthcare datasets and extract insights.
• Collaborate with clinicians and interdisciplinary teams.
• Contribute to high-impact academic publications.
• Disseminate research findings and support teaching/mentoring.

Skills

Machine Learning

AI / Statistical Modelling

Python

Data analysis

Collaborative research

Communication

Education

PhD (required for RA level)

Bachelor's degree in CS/Engineering/Math/Statistics

Tools

Python

ML frameworks (TensorFlow/ PyTorch)

Job description

Research Assistant/Associate in Machine Learning for Healthcare

[General Description – include all relevant details from the source]
The University of Cambridge is inviting applications for the position of Research Assistant/Associate in Machine Learning for Healthcare. This role is based within a leading research group focused on the development and application of advanced machine learning methods to healthcare challenges.

The successful candidate will contribute to cutting-edge research projects aimed at improving clinical decision-making, patient outcomes, and healthcare system efficiency through the use of artificial intelligence and data-driven methodologies. Responsibilities include designing and implementing machine learning models, analysing complex healthcare datasets, collaborating with clinicians and interdisciplinary teams, and contributing to high-impact academic publications.

The role provides an opportunity to work in a collaborative and innovative environment, engaging with experts across computational, clinical, and translational research domains. The postholder will also be expected to contribute to the dissemination of research findings and may support teaching or mentoring activities within the department.

The position may be offered at Research Assistant or Research Associate level, depending on the candidate’s qualifications and experience.

[Eligibility Criteria]
Applicants should hold (or be close to completing) a degree in a relevant field such as computer science, engineering, mathematics, statistics, or a related discipline. For Research Associate level, a PhD (or equivalent experience) in a relevant subject is required.

[Required expertise/skills]

Strong background in machine learning, artificial intelligence, or statistical modelling

Experience working with large and complex datasets, preferably in healthcare or biomedical contexts

Proficiency in programming languages such as Python and relevant machine learning frameworks

Ability to design, implement, and evaluate computational models

Strong analytical, problem-solving, and research skills

Excellent communication skills and ability to work collaboratively with interdisciplinary teams

Salary details
£29,605 to £44,263 per annum, depending on qualifications and experience