Senior Computational Biologist

King's College London; Greater London; Sur place; GBP 54 000 - 63 000; Plein temps

Résumé du poste

King’s Smart Trials Hub at King’s College London seeks a Senior Computational Biologist to lead multi-omics analysis and pipeline optimization for bulk and spatial datasets. You will collaborate with a multidisciplinary team to deliver high-quality services to academic and commercial partners.

The role focuses on statistical modelling, machine learning and integrative analytics, with a strong emphasis on data integrity, reproducibility and practical impact on research outcomes.

Qualifications

• PhD or equivalent research experience in omics analysis.
• Three+ years post-doctoral or industry experience in omics analysis, incl. spatial omics.
• Strong programming skills using Python or equivalent language for data analysis.
• Expertise in multi-omics data integration and statistical modelling for complex datasets.
• Experience working with high-performance computing environments and workflows.
• Ability to ensure data integrity and reproducibility across analyses.

Connaissances

Omics analysis

Multi-omics data integration

Statistical modelling

Machine learning

High-performance computing

Data quality assurance

Scientific communication

Collaboration in multidisciplinary

Python programming

Formation

PhD in a relevant subject area

Outils

Python

Description du poste

About us

King’s Smart Trials Hub (STH) is a globally distinctive multi-omics centre, located at Guy’s Hospital campus within Research Infrastructure, part of Research Management & Innovation Directorate at King’s College London.

The Hub brings together state-of-the-art spatial and non-spatial ‘omics’ technologies to enable full molecular profiling of cells, tissues and liquid biopsies and leverages advanced, multi-modal technologies to investigate disease biology at high resolution, supporting the equitable development of personalised therapies.

About the role

The Senior Computational Biologist is part of a highly collaborative and inclusive team. The role leads on developing and optimising analysis pipelines and integration for multi-omic data generated from bulk and spatial transcriptomics & proteomics, as well as spatial metabolomic, lipidomic, peptide/protein and metallomic mass spectrometry.

The role requires a strong background in statistical methods and machine-learning tools with experience of programming (such as Python) being desirable.

Reporting to the Smart Trials Hub Manager, you will work closely with a multidisciplinary team to deliver a high-quality research service to both academic and commercial customers.

This is a full-time post (35 hours per week), and you will be offered an indefinite contract. This is an onsite, facility-based role and the post holder is expected to be on campus for the full working week.

About you

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

Essential criteria

• PhD in relevant subject area, or equivalent experience gained in a research setting
• Significant post-doctoral experience or equivalent industry experience (typically three years or more) in omics analysis, including spatial omics
• Strong programming skills, with experience using Python or relevant programming language for data analysis
• Expertise in multi-omics data integration & statistical modelling, applied to complex biological datasets
• Experience working with high-performance computing (HPC) environments
• Experience of working to quality assurance & quality control standards within a laboratory or research environment, ensuring data integrity & 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

Desirable criteria

• Practical experience using machine-learning tools and frameworks for biological or biomedical data analysis
• Experience working with human tissue & clinical data, including an understanding of relevant governance or data protection considerations
• Experience developing computational tools or workflows to support data management, analysis and reproducibility
• 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. 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 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.

£53,947 to £63,350 per annum, including London Weighting Allowance