Description
Who Are You?
An experienced Principal Data Scientist specializing in signal processing, ML and clinical data science to support clinical studies and health research.
Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. You will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this recent program.
Position Overview:
This position will provide technical expertise in integrating biomedical signal analysis, probabilistic modelling, and scalable data pipelines, ensuring high-quality, reproducible insights from complex biomedical high frequency data, including electrophysiological, AI-based 24/7 video recordings and wearable-derived signals, tabular data, e.g. demographic and genetic, and EHR.
Applies cutting-edge data science approaches while adhering to project timelines.
Responsibilities
As a Principal Data Scientist, your responsibilities will include:
- Identify, access, and integrate diverse data sources, including clinical study data, observational data, and real-world healthcare datasets, ensuring high-quality data extraction and pre-processing.
- Develop and implement signal processing methods for data curation and feature/pattern extraction from longitudinal data, with particular focus on high frequency data (e.g., electrophysiological and wearable signals), for clinical and research applications.
- Develop and implement machine learning model for clinical applications, including disease phenotyping, and predictive modelling.
- Apply advanced computational techniques such as time-series analysis, feature engineering, and probabilistic modeling to enhance biomedical data interpretation.
- Develop and maintain scalable, high-performance data
📌 Principal Data Scientist (India)
🏢 Cytel
📍 India