Companies you'll love to work for

105
companies
985
Jobs
Be placed in the Kapor Talent Network talent network for opportunities from 100+ startups solving real-world problems.

Data Scientist

eddii

eddii

Data Science
United States
Posted on Friday, June 28, 2024


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