Senior Quantitative Scientist
1 day ago
We are seeking an experienced Senior Quantitative Scientist to join our team at Nightingale Health in Oxford/London, UK. As a member of our data science team, you will play a key role in developing and implementing predictive models for chronic diseases.
In this role, you will work with large datasets of molecular and clinical measurements to identify patterns and trends that can inform risk prediction. You will also collaborate with other data scientists and software engineers to bring new discoveries into our products.
The ideal candidate will have a strong background in healthcare data science, with experience working with human cohort data and analysis techniques such as machine learning and statistical modeling. A PhD or Master's degree in a relevant field is required, along with excellent programming skills in languages such as R and Python.
This is an exciting opportunity to make a difference in the world by developing innovative solutions for preventative healthcare. If you are passionate about data analysis and have a strong desire to improve health outcomes, we encourage you to apply.
Key Responsibilities:
- Develop and implement predictive models for chronic diseases
- Analyze large datasets of molecular and clinical measurements
- Collaborate with other data scientists and software engineers to bring new discoveries into our products
- Work with UK partners to implement risk scores for preventative health in UK healthcare systems
- Carry out analysis for clinical and academic partnerships using our technology
Requirements:
- PhD or Master's degree in healthcare data science, bioinformatics, epidemiology, or applied statistics
- Strong background in human cohort data analysis and machine learning/statistical modeling
- Excellent programming skills in languages such as R and Python
- Experience working with others to translate scientific findings into clinical or commercial use
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