Cardiac Solutions • Medical Imaging • eCOA • Respiratory Solutions • Precision Motion
1001 - 5000
💰 Private Equity Round on 2019-10
Yesterday
Cardiac Solutions • Medical Imaging • eCOA • Respiratory Solutions • Precision Motion
1001 - 5000
💰 Private Equity Round on 2019-10
• The Data Scientist will be responsible for data modeling, predictive analytics, and machine learning to uncover valuable insights from complex datasets. • Develop advanced data models utilizing machine learning techniques. • Design and implement predictive models to forecast trends and optimize clinical outcomes. • Build and maintain scalable data pipelines. • Create data visualizations for both technical and non-technical stakeholders. • Partner with teams to understand data needs and deliver solutions. • Translate data analysis into actionable recommendations. • Research and develop innovative algorithms for unique challenges. • Ensure models' scalability and reliability in production environments. • Maintain quality service by adhering to organizational SOPs and helping to explore new value opportunities.
• Bachelor’s degree in a quantitative field like Computer Science, Information Technology, Mathematics, Cognitive Science • 3+ years experience in data management/analytics/data engineering • Experience in pharmaceutical research and development preferred • Experience with SQL and Python required • Experience in scalable data science and analytics, include model building, data cleaning, visualization and machine learning algorithms • Experience in Medical Imaging, Regulatory and Clinical Research process preferred • Familiarity with AWS cloud-based data platforms is a plus • Experience or familiarity with generative AI (GenAI) technologies and applications is a plus • Strong interpersonal and communication skills, both verbal and written • Strong organizational and leadership skills • Goal oriented • Fluency in English (both verbal and written) is required
• Competitive compensation • Medical, dental, and vision insurance beginning Day 1 of employment • Flexible work schedules • Attractive PTO plan • Engaging employee programs • Remote working
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