Snr Data Scientist, Computational Genomics/DNA Modelling
Core
Senior data scientist developing computational models to connect genetic variation and regulatory DNA sequences to downstream molecular phenotypes and disease biology for target discovery.
Role type
Senior IC data scientist (computational genomics/DNA modelling)
Builds
Production ML models for variant effect prediction, regulatory activity modelling, and representation learning for genomic data
Domain
Biotech / Computational Genomics / Machine Learning
Deliverable
production ML models
Required skills
DNA language models, genomic foundation models, transformer-based sequence models, statistical machine learning, probabilistic modelling, statistical genetics methods (fine-mapping, colocalisation), Python, R, high-performance computing
Preferred skills
single-cell transcriptomics, patient-derived datasets, interdisciplinary biotech/pharma experience, integrating ML with genomics/perturbation datasets, 3D genome/chromatin interaction data (Hi-C, Capture-C)
Responsibilities
Develop and implement ML models for DNA sequence and genetic variation; Build and benchmark sequence-to-function models; Integrate sequence representations with transcriptomic/epigenomic datasets; Partner with experimental researchers to validate hypotheses; Contribute to scientific publications and documentation
Seniority
Senior, hands-on IC