Research Associate, Health Grand Challenge

ROLE PURPOSE
The primary purpose of this role is to contribute to the Grand Challenge in Health by advancing the Knowledge, Action, and Impact. As Research Associates, you will leverage your expertise to develop innovative AI models and solutions that address complex healthcare problems. You will work collaboratively with a multidisciplinary team to drive forward the Institute's vision of transforming healthcare through AI, ensuring that research outcomes have practical, real-world applications and impact.
DUTIES AND AREAS OF RESPONSIBILITY

• Publish and disseminate high-quality research papers and publications detailing research outputs and project case-studies.
• Cultivate strong relationships with internal stakeholders, liaising with teams across the Turing as required.
• Communicate or present research outputs to diverse stakeholders, through conferences, events, meetings, and press opportunities as appropriate.
• Participate in internal meetings with relevant groups, stakeholders, as well as external meetings with representatives of industry and potential partner organisations
• Work collaboratively with academic experts and broader research partners from across the Turing and the wider Turing community.
• Work closely with healthcare professionals, data scientists, and engineers to translate research findings into practical healthcare applications.
• Contribute to the life of the Institute and support a diverse and inclusive community through embracing the Turing values.
• Adhere to and promote principles of reproducible and ethical data science and ensure secure handling of data and health and safety in all aspects of work.

Requirements

• A PhD (or equivalent experience and/or qualifications) in a relevant area which will include Computer Science, AI, Machine Learning, Statistics or similar inter-disciplinary subjects (if close to PhD completion, Research Assistant level will be considered).
• Proven research experience in machine learning and AI
• Expertise in natural language processing and medical image understanding
• Knowledge of reinforcement learning and causal statistics
• Evidence of high-quality publication(s) in a relevant field (published or in-press) commensurate with your career stage
• Excellent written and verbal communication skills including the ability to present complex or technical information, and to communicate effectively with other stakeholders outside the research community
• Ability to adapt the style of communication to the audience and ensure understanding

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