Scientist

About the Company

Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. The company aims to super-charge drug discovery and help people understand personal risk of chronic diseases through polygenic risk scores.

Responsibilities

• Act as a strategic consultant on high-impact projects with external pharma and biotech partners
• Navigate the drug development pipeline from target discovery and validation to patient stratification
• Utilize advanced statistical techniques to prioritize therapeutic targets and optimize clinical insights
• Translate complex genomic data into actionable consulting insights for internal teams and external partners

Requirements

• Experience performing foundational genetic association analyses (e.g. GWAS, burden) on large-scale biobank data
• Experience working in Trusted Research Environments (TREs) such as UK Biobank and All of Us
• Strong proficiency in R and/or Python for large-scale genomic analysis
• Commitment to clean, reproducible, and well-documented code
• Experience with workflow tools (e.g. Nextflow), version control (Git), and HPC or cloud compute environments
• Ability to engage with stakeholders and deliver presentations to customers

Preferred Qualifications

• Experience with containerisation (Docker/Singularity)
• Knowledge of distributed computing frameworks
• Machine learning applied to genomics
• Contributions to open-source scientific software

Benefits

• Competitive salary benchmarked annually
• Clear career progression framework
• Continuous learning and L&D materials
• 25 days annual leave plus bank holidays and a 3-day year-end shutdown
• Market-leading pension scheme
• Comprehensive private health insurance with no excess
• Critical illness and life assurance
• Enhanced paid family leave
• Flexible hybrid working model
• 'Bank Your Bank Holiday' program
• Cycle-to-Work scheme