Computational Biologist

Tasks

• Build predictive models using genomic epigenomic and clinical data
• Collaborate with academic and industry partners to support translational initiatives
• Collaborate with data engineering software engineering and product teams to embed models into clinical workflows
• Communicate findings through publications and presentations
• Design and develop algorithms for multiomics analysis
• Explore internal and public datasets to identify disease signals
• Integrate clinical demographic and molecular sequencing data for risk stratification
• Translate computational insights into clinically deployable diagnostic tools

Perks/Benefits

• Annual team day
• Audiological insurance
• Dental insurance
• Electric vehicle scheme
• Income protection
• Life insurance
• Matched pension
• Optical insurance
• Paid holiday
• Paid sabbatical
• Private health insurance
• Public holidays
• Team socials
• Wellbeing discounts

Skills/Tech-stack

Data integration | Data reproducibility | Epigenomics | Genomics | Machine Learning | Model Validation | Multiomics | Predictive Modeling | Python | R | Statistical Analysis | Transcriptomics