Oncology Data Scientist
OR
Last updated on 27 Jan 2026
Overview
An Oncology Data Scientist applies data science techniques to analyze complex cancer-related datasets, aiming to improve diagnostics, treatment, and patient outcomes. They work with clinical, genomic, and real-world data to generate insights that support research, personalized medicine, and healthcare decision-making in oncology.
Job Description
- Collect, clean, and analyze oncology datasets, including clinical records, genomic data, and patient outcomes.
- Develop predictive models and algorithms to support cancer diagnosis, treatment planning, and prognosis.
- Collaborate with oncologists, bioinformaticians, and researchers to translate data insights into clinical practice or research findings.
- Visualize data trends and outcomes using dashboards, charts, and reports for both clinical and non-technical stakeholders.
- Work with electronic health records (EHRs), cancer registries, and clinical trial data to support real-world evidence generation.
- Apply machine learning and statistical techniques to identify biomarkers, treatment patterns, and survival predictors.
- Contribute to publications and presentations, and assist in grant writing or regulatory submissions involving oncology data.
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DM Clinical Haematology
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PhD in Haematology
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CPO (Certificate in Preventive Oncology)
Fellowship in Clinical Haematology
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