Data Scientist for Cancer Research
1 week ago
We are seeking a highly skilled Data Scientist to join our team at the Barts Cancer Institute, Queen Mary University London. As a key member of our multi-disciplinary team, you will play a crucial role in analyzing large multi-modal datasets to advance our understanding of cancer.
Your Key Responsibilities
- Analyze complex electronic health records, molecular, and imaging datasets to identify patterns and trends.
- Develop and implement machine learning algorithms to improve data insights and inform clinical decision-making.
- Collaborate with our team of experts to integrate data from national and international cohorts.
About You
- PhD in Data Science or a related field.
- Proven experience in analyzing large multi-modal datasets and developing machine learning models.
- Strong understanding of clinical terminologies and data standards.
About the Institute
The Barts Cancer Institute is a Cancer Research UK Centre of Excellence, dedicated to transforming the lives of those with and at risk of cancer through innovative research. Our team is passionate about advancing cancer research and improving patient outcomes.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional development and growth.
- A dynamic and supportive team environment.
Queen Mary's Commitment to Diversity and Inclusion
We are committed to creating an inclusive and diverse work environment that values and respects all individuals. We welcome applications from candidates from diverse backgrounds and encourage those with disabilities to apply.
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London, Greater London, United Kingdom Barts Cancer Institute , Queen Mary University London Full time{"About the Role": "We are seeking a highly skilled Data Scientist to join our team at the Barts Cancer Institute, Queen Mary University London. As a Data Scientist, you will play a key role in analyzing multi-modal data in the context of a wide collaborative European Initiative.This project involves working with electronic health records (EHRs), molecular...
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