Generous stipend reviewed yearly; monthly family +...
Hybrid
Phd in computer science or related field
Python programming skills
Experience with pytorch or tensorflow
The role involves developing computational methods to investigate the effects of rare variants on human traits using large cohort studies
Job Summary
The role involves developing computational methods to investigate the effects of rare variants on human traits using large cohort studies.
Candidates will have the opportunity to blend academic work at EMBL with collaborations with GSK scientists and access to their research compute environments.
The position offers a 2-year renewable contract up to 5 years with extensive benefits including 30 days annual leave, private medical insurance, and family allowances.
Matching Summary
The role involves developing computational methods to investigate the effects of rare variants on human traits using large cohort studies.
Salary
Generous stipend reviewed yearly; Monthly family and child allowances; Pension scheme included
Skills & Requirements
Must-have
PhD in computer science or related field
Python programming skills
Experience with PyTorch or TensorFlow
Statistical learning or machine learning expertise
Deep learning implementation experience
Nice-to-have
Background in biological data science
Interest in human genetics domain
Creative and supportive team member
Experience with causal discovery methods
Motivation to lead scientific projects
Key Requirements
PhD or equivalent qualification required
Demonstrated experience in computational development