King's College London

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 looking for an enthusiastic Research Assistant to join a highly collaborative project as part of the Nucleic Acid Therapy Accelerator Consortium to develop machine and deep learning approaches and maintain heterogenous data supporting drug discovery and development.

The candidate should have strong background in deep learning and/or biomedical image analysis algorithm development and interest to employ such techniques to advanced applications in biology, digital pathology and medicine development. The specific research project requires expertise in modern methods for image segmentation and classification of large imaging data using convolutional neural networks. Experience in web-based application development is desirable.

This post may appeal to candidates with background in computer science or engineering interested in now developing skills and experience in biomedical research. Candidates with good experience in machine learning, bioinformatics, database management, and visualisation techniques will also be considered. The successful candidate will be joining a new group and thus this position provides an opportunity for the right candidate to be part of an exciting new venture.

This is a highly collaborative project with several institutions including Oxford University, Cambridge University, and UCL. While having prior experience in working on interdisciplinary projects would be an advantage it is not a requirement.

This is a full time post and you will be offered 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 MSc in Artificial Intelligence, Biomedical Engineering, Computer Science, Bioinformatics, Chemoinformatic or another related area.
2. Excellent programming skills in Python.
3. Excellent communication 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. Good understanding of software testing
5. Demonstrate a strong interest in interdisciplinary research
6. Ability to manage own academic research and associated activities

Desirable criteria

1. Experience in dealing with large image data and cloud computing
2. Experience of contributing to reports and articles for publication
3. Strong interest in biomedical applications.  
4. Experience of working in a research team and contributing ideas for new research projects
5. Experience of developing web applications using advanced javascript libraries is desirable but not required

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.