About us

The Sailem group is an interdisciplinary team dedicated to advancing deep learning and bioinformatics techniques for analysing large-scale biomedical data. We have a strong focus on cellular imaging data, recognizing its significant potential for translational medicine. To learn more, visit the Biomedical AI and Data Science group at  www.hebasailem.com.

About the role

We are seeking a highly motivated and skilled Research Associate to join our dynamic team and work at the forefront of computational pathology and biomedical data analysis. This is an exciting opportunity to be part of a multidisciplinary collaboration with teams from different institutions including Oxford, Cambridge, and UCL.

What You'll Do: 

• Develop and implement cutting-edge deep learning techniques involving graph neural networks, transformers, or foundation models including images, gene expression data, and drug structures.
• Design bespoke algorithms for analysing large biomedical data sets
• Integrate diverse data types using multi-modal deep learning.

Who We're Looking For: 

• A computer science or engineering background with a keen interest in biomedical and cancer research.
• A strong background in deep learning and/or biomedical data analysis.
• Experience in bioinformatics, database management, or data visualization is desirable

Why Join Us? 

• Be a part of a highly collaborative project shaping the future of biomedical research.
• Work alongside leading academics and researchers from prestigious institutions.
• Develop your expertise in a rapidly evolving field with the potential for significant impact.

This is a full time post and you will be offered an a fixed term contract until 31/10/2025.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. Have PhD in Machine Learning, Computer Vision, Biomedical Engineering, Computer Science, Computational Chemistry, Bioinformatics, Computational Biology, or another related area.
2. Excellent programming skills in Python.
3. Excellent communication and team working skills, both written and oral, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
4. Ability to manage own academic research and associated activities
5. Ability to contribute ideas for new research projects and research income generation

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Desirable criteria

1. Experience in working with drug data including gene therapies and chemical structures
2. Experience in dealing with large image data and cloud computing
3. Strong interest in biomedical applications.  
4. Experience in large-scale image-based phenotyping in the wider sense.
5. Experience of building modern database systems 

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Interviews are due to be held in August or early September

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.