Create robust metrics and validation plans to ensure that next generation systems do what they are hired to do.
Create and execute plans to improve AI/ML models.
Clean, analyze, and interpret complex health data from Continuous Glucose Monitors (CGM), smart insulin pens, and connected mobile apps.
Identify trends, patterns, and key metrics to inform clinical research, product development, and patient health management.
Contribute to the development of machine learning algorithms for insulin titration adjustments and predictive models that improve diabetes outcomes.
Collaborate with cross-functional teams to translate data insights into actionable clinical recommendations.
Understand how to use data from CGM, connected insulin pens, and mobile app data to create next generation recommendation systems.
Design and execute statistical analyses to evaluate the potential impact of clinical decision systems.
Develop visualizations and technical documentation for research papers and presentations.
Build scalable and efficient data pipelines to integrate, clean, and process multi-source health data from legacy products to make this data available to our internal data scientists.
Ensure high-quality data structures that support accurate and reliable analytics.
Partner with clinicians, product teams, and other stakeholders to develop next generation clinical decision systems that turn complex data into clear, actionable insights.
Present findings effectively to both technical and non-technical audiences.

Requirements

Master’s degree in Statistics, Data Science, or a related field (e.g., Computer Science, Mathematics, Bio Medical Engineering).
A strong academic record is preferred.
Minimum 6+ years of experience in data science, preferably within the healthcare industry or related fields.
Experience working with time-series data, clinical data, or medical devices is highly desirable.
Experience dealing with real world data and creating machine learning and analytics from real world data is required.
Experience in deploying at least one GenAI system to production is highly desirable.
Proficiency in Python (Pandas, NumPy, SciPy, SKLearn, TensorFlow), R, SQL (PostgreSQL, MySQL), and experience with cloud platforms like AWS or Azure.
Ability to create production quality python code.
Statistical Expertise: Strong understanding of statistical concepts, including hypothesis testing, causal inference, and experimental design.
Evidence of creating statistical plans for the validation of GenAI systems is necessary.
Proven ability to work effectively in cross-functional teams and communicate complex technical concepts to diverse stakeholders.
Experience working with medical professionals and helping medical professionals interpret complex data is required.
Preferred Experience with diabetes management systems, CGM data, or insulin therapy optimization.
Publication record or presentations at conferences related to diabetes research or medical device analytics.
Familiarity with agile development methodologies and version control systems like Git.

Benefits

Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
An excellent retirement savings plan with high employer contribution.
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysismachine learningstatistical analysisdata cleaningdata visualizationPythonRSQLGenAI systemstime-series data

Soft Skills

collaborationcommunicationproblem-solvingpresentation skillscross-functional teamworkinterpersonal skillsanalytical thinkingattention to detailadaptabilitycritical thinking

Certifications

Master’s degree in StatisticsMaster’s degree in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in MathematicsMaster’s degree in Bio Medical Engineering