Senior BioAI Scientist: Target Discovery & Systems Biology

Novo Nordisk; Greater London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A global healthcare company in Greater London is seeking a (Principal) Lead Scientist to drive cutting-edge analyses of cellular phenotype data for drug discovery. The role includes leading AI-driven projects and translating screening insights to drug targets. The ideal candidate should possess a Master’s degree in a relevant field, ideally with a PhD, and have experience in scientific leadership and high-dimensional data analysis. This position offers the chance to engage with senior experts and lead impactful projects in a collaborative environment.

Benefits

Opportunities for learning and development

Inclusive recruitment process and equality of opportunity

Qualifications

• Master’s degree required; PhD preferred in relevant fields.
• Experience in scientific leadership with cross-functional teams.
• Expertise in applying AI and systems biology methods.
• Strong motivation for biology-focused data analysis.
• Proficiency in Python/R for data curation and analysis.

Responsibilities

• Lead AI and data analysis projects for drug target discovery.
• Translate screening analysis results into drug target candidates.
• Interrogate high-dimensional biological data.
• Develop relationships with stakeholders to align strategies.
• Contribute to the overarching systems biology strategy.

Skills

Scientific leadership

AI and data analysis

High-dimensional datasets analysis

Python/R data analysis

Excellent communication skills

Education

Master’s degree in cellular/molecular/computational biology

PhD (strongly preferred)

Job description

A global healthcare company in Greater London is seeking a (Principal) Lead Scientist to drive cutting-edge analyses of cellular phenotype data for drug discovery. The role includes leading AI-driven projects and translating screening insights to drug targets. The ideal candidate should possess a Master’s degree in a relevant field, ideally with a PhD, and have experience in scientific leadership and high-dimensional data analysis. This position offers the chance to engage with senior experts and lead impactful projects in a collaborative environment.