Job Description

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
• Apply machine learning techniques to optimize large sets of sensor data processing and analysis, e.g., noise reduction.
• Validate and interpret results to ensure accuracy and reliability.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

• Master\'s or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• Proven experience working with sensor data and related algorithms.
• Proficiency in programming languages such as Python or R for data analysis and machine learning.
• Experience working with cloud-based platforms such as AWS, Azure or related and their data pipeline development.
• Experience with data visualization tools such as matplotlib, seaborn, or ggplot2.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

• Work with clinical sensor data to derive meaningful correlations.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of SQL & NoSQL and experience working with related databases.
• Familiarity with cloud computing platforms such as AWS or Google Cloud Platform.
• Prior experience in developing and implementing algorithms in a healthcare or pharmaceutical setting.

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