Data Scientist
eddii
This job is no longer accepting applications
See open jobs at eddii.See open jobs similar to "Data Scientist" Kapor Capital.Position Title: Data Scientist
About eddii
eddii is a cutting-edge digital health care delivery platform designed to deliver fun, support, and education to users living with diabetes and other cardiometabolic conditions. Our AI-enabled platform gamifies real-time glucose data, transforming diabetes management into an engaging experience. eddii acts as a smart virtual health buddy, providing witty conversations, health reports, and collectible in-app items. By humanizing the management of diabetes, eddii helps users take control of their health in an enjoyable and supportive way.
Contact us: careers@eddiihealth.com
Time Type: Part Time
Travel Requirements: 0%
Key Responsibilities:
Data Analysis and Insight Generation:
- Analyze and derive insights from continuous glucose monitoring (CGM) data, and other relevant patient information (e.g., meal intake, insulin dosing).
- Develop predictive and prescriptive analytics to personalize diabetes management strategies for non-clinical users and clinical patients.
Algorithm Development:
- Create and refine algorithms that personalize overall diabetes management strategies.
- Design machine learning models to predict and prescribe actions based on non-clinical and clinical data.
- Develop models that motivate and support non-clinical users and clinical patients in developing sustainable healthy habits.
Behavioral Analytics:
- Analyze patient behavior data to identify patterns and trends that can inform the development of personalized motivational strategies.
- Use behavioral science principles to design interventions that encourage habit formation and adherence to diabetes management plans.
Model Monitoring and Optimization:
- Monitor and optimize the performance of data models to enhance non-clinical user and clinical patient experience and healthcare outcomes.
- Use analytics such as average glucose levels, glucose standard deviation, and time in range to refine models.
Data Integration and Utilization:
- Integrate various data sources, including standard claims processing system files and user generated data, to enhance predictive and prescriptive capabilities.
- Collaborate with engineering and product teams to ensure seamless data flow and utilization within the platform.
Collaboration and Communication:
- Work closely with cross-functional teams, including product, engineering, and clinical teams, to align data science initiatives with business goals.
- Communicate complex data insights and model outcomes to non-technical stakeholders.
Research and Innovation:
- Stay updated with the latest advancements in data science, machine learning, and healthcare analytics.
- Continuously explore new methodologies and technologies to improve the platform's capabilities.
Regulatory and Compliance Adherence:
- Ensure that all data science activities comply with relevant healthcare regulations and standards.
- Maintain data privacy and security in accordance with industry best practices.
Required Qualifications:
Education:
- Bachelor's or higher degree in Statistics, Computer Science, Biomedical Engineering, or a related field.
Experience:
- Minimum of 3 years of experience working in data science, preferably within the healthcare or telehealth industry.
- Proven experience working with real-time medical data, including CGM data.
Skills:
- Strong understanding of machine learning algorithms and programming languages such as Python, Java, or R.
- Familiarity with big data platforms and tools (e.g., Hadoop, Spark).
- Excellent analytical and problem-solving skills with a passion for utilizing data to improve patient care.
- Ability to navigate a complex healthcare environment and understand the intricacies of diabetes management.
- Experience with behavioral analytics and designing interventions to promote habit formation.
Preferred Qualifications:
Advanced Education:
- Master's or Ph.D. degree in a related field.
Certifications:
- Relevant data science or machine learning certifications (e.g., TensorFlow, AWS Machine Learning).
Industry Knowledge:
- In-depth understanding of the digital health landscape and patient engagement strategies.
Additional Skills:
- Experience with AI-driven healthcare solutions.
- Knowledge of regulatory requirements and standards in healthcare data management.
Benefits:
- Be part of a fast-paced, innovative startup environment
- Work directly with the founding team and a broader community of advisors, investors, and partners
- Compensation will include competitive salary, equity, healthcare benefits, and PTO
This job is no longer accepting applications
See open jobs at eddii.See open jobs similar to "Data Scientist" Kapor Capital.