Data Scientist

2 weeks ago

Remote, India Attain Solutions Full time

**Company Description**

Kardiogenics is at the forefront of healthcare innovation, developing cutting-edge technologies that transform multi-device platforms into a single, time-synced data-aggregation system. Our solutions generate high-grade clinical data used for advanced analytics, machine learning, and AI-driven healthcare models, supporting both retrospective and predictive healthcare delivery.
- 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.
- Conduct exploratory data analysis to identify trends, patterns, and potential opportunities for innovation within our datasets.
- Participate in clinical trial data analysis, contributing to the validation of new models and algorithms.

**Qualifications**
- Master’s or Ph.D. in Data Science, Electrical Engineering, Biomedical Engineering, or a related field.
- 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.

**Job Types**: Full-time, Permanent

Pay: From ₹544,981.09 per year

**Benefits**:

- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
- Work from home

Schedule:

- Monday to Friday

**Experience**:

- total work: 3 years (required)

Work Location: Remote

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