Data Scientist

We are seeking a highly skilled Data Scientist with expertise in ECG analysis and physiological signal processing to join our dynamic team. The ideal candidate will play a critical role in advancing our data-driven healthcare solutions, contributing to the development of machine learning models and analytics that enhance our virtual clinic offerings and support our mission to revolutionize specialty care.

• Analyze and interpret ECG data and other physiological signals to support the development of advanced algorithms and machine learning models.
• Collaborate with cross-functional teams, including engineers, clinicians, and product managers, to integrate and validate data-driven insights into our healthcare platform.
• Design and implement data preprocessing pipelines, including noise reduction, signal enhancement, and feature extraction for various physiological signals.
• Develop and validate predictive models for healthcare applications, focusing on patient outcomes and clinical decision support.
• Conduct exploratory data analysis to identify trends, patterns, and potential opportunities for innovation within our datasets.
• Stay updated on the latest research and advancements in ECG analysis, signal processing, and AI/ML techniques, and apply this knowledge to improve our products and services.
• Participate in clinical trial data analysis, contributing to the validation of new models and algorithms.

Requirements

• Master’s or Ph.D. in Data Science, Electrical Engineering, Biomedical Engineering, or a related field.
• Proven experience of 3 to 5 years in ECG analysis, physiological signal processing, and the application of machine learning to healthcare data.
• Strong proficiency in Python, MATLAB, or similar programming languages, with experience in signal processing libraries and tools.
• Familiarity with time-series data analysis, feature engineering, and predictive modeling techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication skills, with the ability to present complex technical concepts to both technical and non-technical stakeholders.