Data Scientist (DMSMC)
Core
Develop biomarkers predicting clinical responses in cancer patients by integrating electronic medical records, next-generation sequencing, and radiological imaging.
Role type
Research data scientist (oncology/genomics)
Builds
Multi-omics research infrastructure and predictive biomarker models
Domain
Healthcare / Oncology / Genomics
Deliverable
production ML models
Required skills
Python, R, statistical modelling, machine learning, deep learning, feature engineering, survival analysis, data curation, command line shells, high-performance computing
Preferred skills
biostatistical analyses, multi-omics analyses (WES, RNASeq), language models, data portfolio
Technologies
Python, R, bash, zsh
Responsibilities
Optimise genomic, transcriptomic, and radiomic data-processing pipelines; Perform feature engineering for statistical modelling, machine learning, and deep learning; Conduct survival analyses to understand cancer progression and treatment resistance; Guide research discussions with scientists and clinical collaborators
Seniority
Mid-level IC (Master's) / Senior IC (PhD + 2 years)
