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About Us
This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful candidate will be embedded in Professor James Arnold’s Tumour Immunology Group, where they will contribute to and support the development of ongoing research projects across the School, in a collaborative academic environment.
About The Role
The post is offered as a full-time, fixed-term contract for an initial period of one year.
The successful candidate will develop and implement novel analytical pipelines for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim of the role is to support efforts to deconstruct the tumour microenvironment and elucidate its role in cancer, generating new biological insights and identifying novel and unexpected therapeutic opportunities.
The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/) to support and further develop ongoing research activities within the School in a highly collaborative academic environment. The role will also involve training and supervising PhD students and junior research associates in the application of bioinformatics tools. More broadly, the successful candidate will benefit from, and contribute to, the interdisciplinary research culture and extensive academic networks at King’s College London.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- Candidate must have (or be studying for) a PhD in a relevant field of research; ideally in the computational and/or biology and/or cancer field.
- Demonstrable knowledge and prior work with spatial and RNA-seq datasets in a biological context.
- Strong software and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab).
- Practical experience of algorithm development and implementation of machine learning approaches.
- Experience in writing scientific manuscripts and peer reviewed publications.
- Ability to work as part of a team, in a collaborative fashion between teams and willingness and ability to exchange information with team members and internal and external contacts
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 page. This document will provide information on what criteria will be assessed at each stage of the recruitment process.
Further Information
At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.
The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.
We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination.
When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.
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 person specification section of the job description. 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 week beginning 13th April and will include a 10-minute presentation about the candidate’s previous research as part of the interview.
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