Senior Principal Scientist

CompanyInsight Global

LocationEngland, United Kingdom

Posted At1/21/2026

UK Visa Sponsorship Analytics

Occupation Type

Natural and social science professionals not elsewhere classified.

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

Insight Global are seeking a Senior Principal Scientist on behalf of a major European pharmaceutical client of ours, within their R&D AI team. This role is a permanent position, based in either Central London or Oxford.

Overview:

As Senior Principal Scientist, you will perform cutting edge analyses of cellular phenotype data derived from ultra-high throughput genetic and compound screens to identify new drug targets for cardiometabolic disease. You will have direct impact on our early pipeline and lead the scientific deliveries from our flagship genome-scale in-vitro perturbation screens producing high-content imaging and functional genomics data and help us translate these into compelling drug projects.

Responsibilities Include:

Scientific leadership and execution of high-value AI and data analysis projects for target discovery
Translation of ultra-high throughput in-vitro screening analysis results/insights into drug target candidates and pipeline projects
Systems biology-guided interrogation of high-dimensional cell-painting embeddings & omics (incl. DRUG-seq/perturb-seq) data derived from genetic & chemical perturbations

Keep pace with cutting edge biology-focused AI methods and contribute to the development of internal evaluations/benchmarks to keep our models focused on value to our discovery pipeline

Develop collaborative and strategic relationships with key stakeholders in our therapy areas to ensure alignment with the global drug discovery strategy and portfolio

Must-Have Requirements Include:

Master’s degree or a PhD in cellular/molecular/computational biology
Extensive experience in a pharma/tech bio context
Scientific leadership experience in cross-functional teams with a track record of progressing novel biological hypotheses, ideally focused on drug target identification within a pharma industry context
Experience applying cutting edge AI and systems biology methods to generate, analyse, and interpret high-dimensional datasets, preferably from HCI/omics data on in-vitro genetic/compound screens
Independence and motivation to perform in-depth biology-focused data analysis and work with project and leadership teams to progress targets
Experience working in Python/R to curate and analyse data
Experience in CMD-relevant cellular/molecular biology is an advantage