Data Scientist

An up-and-coming Medical Device Company is seeking a Data Scientist to join their growing team in San Diego. In this position, you will play a critical role in lowering the burden of diabetes through advanced automated insulin delivery systems. The ideal candidate will have a strong background in diabetes, data science, machine learning, and analytics, with a focus on virtual patient simulators. Experience in developing user and product analytics will be a significant advantage. Bachelors in relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Proven experience (5+ years) in a data science role with a track record of successful project delivery, including virtual patient simulator development and user/product analytics.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Virtual Patient Simulator Development:

- Design, develop, and implement virtual patient simulators to evaluate algorithms and changes to algorithms and their impact to diabetes control.

User and Product Analytics:

- Develop and implement strategies for collecting, analyzing, and interpreting user and product data.
- Create dashboards and reports to communicate insights and drive data-driven decision-making processes.
- Model Development and Implementation:
- Designing, developing, and deploying machine learning models and algorithms for both virtual patient simulation, product features and user/product analytics.
- Ensure the scalability and efficiency of models in AWS and analytics systems.

Data Governance and Quality:

- Establish and maintain data governance standards to ensure the accuracy, completeness, and reliability of data used in virtual patient simulators and analytics.
- Collaborate with data engineering teams to optimize data pipelines and storage for simulation and analytics purposes.

Diabetes Domain Knowledge

Bring existing knowledge on the following:
- Diabetes data (glucose readings, insulin dosing, meal intake, and other diabetes data types)
- Common diabetes analytics such as average glucose, glucose standard deviation, time in range, coefficient of variation, hypo and hyperglycemia, basal and bolus total daily dose, etc.
- Clinical working knowledge in the understanding of how carbohydrates, insulin, stress, exercise, and other factors affect glucose levels.
- Ability to quickly find relevant research and literature relating to glucose control using insulin therapy.

Experience with big data technologies and frameworks in AWS.
Knowledge of AWS cloud platform.
Familiarity with data visualization tools (e.g., Tableau).
Previous experience in healthcare or medical simulation.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.