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AI Summary
Provide data science expertise to analyze physiological data, specifically accelerometry and EEG, to relate study findings to disease biology. Design and implement bespoke analysis pipelines and studies to better understand the patient journey and tailor clinical interventions.
Who Are You?
A person who can provide data science expertise in the following areas:
- Understanding and effectively working with a wide variety of data sources, with a focus on accelerometry data and wearable devices. The data scientist may work with additional physiological data including with respiration, ECG, EEG voice recordings, video or imaging data, or electronic health records.
- Working with clinicians and researchers to relate study findings to disease biology. Ideally the candidate will have some training in neuroscience or a related field.
- Applying a breadth of data science methodologies as needed for various projects and data types. In particular, this candidate should have significant signal processing skills, ideally including advanced EEG analysis methods that characterize coupling and connectivity across frequencies and brain regions. Projects will also require advanced analytical and statistical methods, such as statistical inference and modern methods for machine learning and AI.
- Identifying and applying state-of-the-art data manipulation and analysis tools, in Python, R or similar languages, to develop bespoke analysis pipelines.
- Independently designing studies, ranging from simple to more complex, and supporting all aspects of projects from data wrangling through to machine learning and statistical analysis.
- Understanding how data science projects fit within client's clinical and preclinical efforts, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit.
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