Research Associate (AI Engineer) - Department of Cancer and Genomic Sciences - 105943 - Grade 6

University of Birmingham; Birmingham; On-site; GBP 32,000 - 36,000; Full time

Job summary

The University of Birmingham is seeking an AI/ML Engineer for its HealthTech AI Hub. This Research Associate role entails designing robust machine learning models and advising healthcare companies on AI strategies. Candidates should possess a relevant degree and practical experience in applying AI techniques. Engagement in cutting-edge research will drive advancements in AI technologies for equitable healthcare solutions.

Qualifications

• Practical experience of applying relevant skills and techniques.
• Ability to analyse information and communicate effectively.
• Knowledge of the protected characteristics of the Equality Act 2010.

Responsibilities

• Designing and implementing machine learning pipelines.
• Evaluating AI model performance and advising on AI strategies.
• Collecting and analysing research data through various methods.

Skills

Data analysis

Communication

Research methods

Education

Degree or equivalent in relevant subject area

Job description

Position Details

Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health

Location: University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £32,546 to £35,116 with potential progression once in post to £39,355

Grade: 6

Full Time, Fixed Term contract up to March 2026

Closing date: 5th August 2025

Background

The HealthTech AI Hub is an interdisciplinary, industry-facing initiative at the College of Medicine and Health, University of Birmingham, supported by the West Midlands HealthTech Innovation Accelerator (WMHTIA). It is designed to accelerate the adoption of AI across the healthcare sector through strategic partnerships with startups, SMEs, and healthcare providers. Our mission is to support the development of inclusive AI solutions that ensure the benefits of AI are accessible to all, regardless of background or context. This role will be central to advancing that mission—working closely with academic experts and industry partners to co-create AI technologies that are not only innovative and scalable but also equitable and socially responsible.

Role Summary

We are seeking an AI/ML Engineer to join the HealthTech AI Hub team as a Research Associate. The role involves designing and implementing robust machine learning pipelines, evaluating AI model performance, and advising healthcare companies on AI adoption strategies. You will collaborate closely with industry innovators and academic experts to conduct in-depth research on healthcare products, guide AI development, and validate scalable solutions that enhance both product performance and patient outcomes. You will also have the opportunity to work with large-scale, multimodal healthcare datasets, and contribute to the development of an AI-native intelligent knowledge mining platform.

Main Duties

• Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and research interviews
• Analyse research data as directed
• Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
• Develop or adapt techniques, models and methods
• Provide guidance as required to support staff and any students who may be assisting with research
• Deal with problems that may affect the achievement of research objectives and deadlines
• Carry out administrative tasks related directly to the delivery of the research
• Promotes equality and values diversity acting as a role model and fostering an inclusive working culture

Person Specification

• Degree or equivalent in relevant subject area
• Practical experience of applying the relevant skills and techniques
• Ability to analyse information and communicate effectively
• Ability to access and organise resources successfully
• Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly

Further particulars can be foundhere

Informal enquiries to Mamunur Rashid, email: [e-mail]

We believe there is no such thing as a 'typical' member of University of Birmingham staff and that diversity in its many forms is a strength that underpins the exchange of ideas, innovation and debate at the heart of University life. We are committed to proactively addressing the barriers experienced by some groups in our community and are proud to hold Athena SWAN, Race Equality Charter and Disability Confident accreditations. We have an Equality Diversity and Inclusion Centre that focuses on continuously improving the University as a fair and inclusive place to work where everyone has the opportunity to succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone on our website .