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
Senior IC data scientist (oncology/genomics)
Builds
Multi-omics research infrastructure and predictive models for cancer treatment resistance
Domain
Healthcare + Genomics + Oncology
Deliverable
production ML models
Required skills
Python, R, statistical analysis, machine learning, deep learning, feature engineering, survival analysis, data curation, multi-omics data analysis
Preferred skills
command line shells, high-performance computing clusters, biostatistical analyses of clinical datasets, multi-omics analyses (WES, RNASeq)
Responsibilities
Optimise genomic, transcriptomic, and radiomic data-processing and statistical-analysis pipelines; Perform feature engineering for statistical modelling, machine learning, and deep learning; Conduct survival analyses to understand cancer progression and treatment resistance; Contribute to and guide research discussions with scientists and clinical collaborators
Seniority
Senior, hands-on IC
