Data Scientist

July 22

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Re-defining the way cardiovascular diseases are detected and treated with Artificial Intelligence (AI)

Artificial Intelligence • Cardiology • Cloud Platform • Data-driven Software

11 - 50

💰 Grant on 2022-06

Description

• Develop, implement, and optimize machine learning models for analyzing cardiac data. • Create and refine algorithms to improve the accuracy and efficiency of heart health diagnostics. • Research the latest developments in machine learning, AI, and cardiovascular health. • Collaborate with teams to integrate models and ensure clinical standards are met. • Present data findings through dashboards, reports, and presentations. • Monitor the performance of deployed models and conduct testing to validate effectiveness. • Ensure all data handling processes comply with regulatory standards.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. A Ph.D. is a plus. • 2+ years of experience in data science, preferably in the healthcare or biomedical field. • Proficiency in programming languages such as Python, C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Strong knowledge of statistical analysis and data mining techniques. • Familiarity with big data technologies. • Understanding of cardiovascular health and medical data is highly desirable. • Strong problem-solving skills and ability to work with large, complex datasets. • Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. • Ability to work effectively in a collaborative, fast-paced environment.

Benefits

• Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to • Personal and professional growth as part of a fast-growing, international team • Learning and development opportunities and training budget • Flexible Remuneration • Health Insurance • Regular team events and Thursday happy hours • No corners cut in having the best tech equipment to do your job