Senior Computational Biologist

Kings College London; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

Kings College London is seeking a highly skilled researcher to lead omics analysis, including spatial omics, in a multidisciplinary environment. You will apply advanced computational methods and work with data from biological experiments.

The role requires a PhD and significant post-PhD experience, strong programming, and the ability to communicate complex results. You will contribute to high-impact publications and collaborate with biologists and data scientists.

Qualifications

• PhD in relevant subject area or equivalent research experience.
• Significant post-doctoral or industry experience in omics analysis, including spatial omics.
• Strong programming skills using Python or relevant programming language for data analysis.
• Expertise in multi-omics data integration and statistical modelling, applied to complex biological datasets.
• Experience working with high-performance computing (HPC) environments.
• Experience of working to quality assurance and quality control standards within a laboratory or research environment, ensuring data integrity and reproducibility across workflows.
• Excellent written and verbal communication skills with the ability to present complex analytical concepts clearly to a range of audiences, including through reports, publications and presentations.
• Experience working collaboratively in multidisciplinary teams and at the interface between biological data, biologists and data scientists/software engineers

Skills

Python programming

Omics data analysis

Spatial omics

HPC environments

Data integration

Statistical modelling

Scientific communication

Education

PhD in relevant subject area

Tools

Python

R

Job description

About you

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

Essential criteria

1. PhD in relevant subject area, or equivalent experience gained in a research setting
2. Significant post-doctoral experience or equivalent industry experience (typically three years or more) in omics analysis, including spatial omics
3. Strong programming skills, with experience using Python or relevant programming language for data analysis
4. Expertise in multi-omics data integration and statistical modelling, applied to complex biological datasets
5. Experience working with high-performance computing (HPC) environments
6. Experience of working to quality assurance and quality control standards within a laboratory or research environment, ensuring data integrity and reproducibility across workflows
7. Excellent written and verbal communication skills with the ability to present complex analytical concepts clearly to a range of audiences, including through reports, publications and presentations.
8. Experience working collaboratively in multidisciplinary teams and at the interface between biological data, biologists and data scientists/software engineers

Desirable criteria

1. Practical experience using machine-learning tools and frameworks for biological or biomedical data analysis
2. Experience working with human tissue and clinical data, including an understanding of relevant governance or data protection considerations
3. Experience developing computational tools or workflows to support data management, analysis and reproducibility
4. Experience of delivering technical training or hands-on support to researchers or colleagues

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 of 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 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.