Data Scientist
4 weeks ago
Rivanna Medical, Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing large datasets generated from ultrasound imaging to identify trends, patterns, and insights to drive product development decision-making.
Key Responsibilities:- Analyze and interpret large datasets to identify trends and patterns.
- Develop and implement machine learning models to improve ultrasound image quality and detect anomalies.
- Collaborate with cross-functional teams to understand data requirements and provide actionable insights.
- Implement data processing pipelines to handle real-time and batch ultrasound data.
- Create visualizations and dashboards to communicate findings and support clinical decision-making.
- PhD in Data Science, Computer Science, Biomedical Engineering, or a related field.
- Proven experience with machine learning, deep learning, and data analysis, preferably in the medical imaging or healthcare industry.
- Strong statistical background.
- Proficiency in Python or R, and experience with machine learning frameworks.
- Strong understanding of image processing techniques and algorithms.
- Familiarity with cloud computing platforms and big data technologies.
- Excellent problem-solving skills and attention to detail.
- Experience with ultrasound imaging data and healthcare datasets.
- Knowledge of medical device regulatory requirements and standards.
- Background in signal processing or biomedical engineering is a plus.
Rivanna Medical, Inc. offers a comprehensive benefits package, including health insurance, vision and dental coverage, group life insurance, long-term disability insurance, paid time off, and a 401(k) plan with company match.
We are committed to providing equal employment opportunities to all employees and applicants without regard to race, ethnicity, religion, color, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship status, uniform service member and veteran status, marital status, pregnancy, age, protected medical condition, genetic information, disability, or any other protected status.
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