Job Purpose

As a Data Scientist you will analyse and interpret US healthcare claims and insurance plan-level data using SQL and Python to assess prescription patterns, patient treatment journey, prescriber landscape, insurance coverage across the competitor landscape, as well as possible unmet need and market size. You will provide strategic insights and support AI use cases to inform the commercialization and go-to-market strategy for MoonLake; setup and operate analytics infrastructure for MoonLake Commercial across several data sources and platforms; and drive additional data and insights related cross-functional projects, such as scientific papers.

Major Accountabilities:

• Leverage SQL and Python for efficient data extraction, manipulation, and interpretationfor patient claims andplan-level insurance data,e.g.:

+ Conduct in-depth analysis ofpatientlifetime treatmentjourney.
+ Evaluate healthcare practitioner activity across the market.
+ Analyse US healthcare claims data to evaluate market presence and trends among competitors.
+ Analysehealthcare insurance plan-level data to assess prescription market coverage.
+ Merge and harmonize multiple data sources for advanced analytics.
+ Identify gaps and opportunities in competitor insurance coverage and market positioning.
+ Scale and professionalize analytics infrastructure and support AI use cases for commercialization.

• Ensure data quality and integrity during analysis to support accurate reporting.
• Document all processes, experiments, data sources and analyses to ensure a robust and reproducible infrastructure.
• Collaborate with cross-functional teams to deliver actionable insights on market trends.
• Provide strategic recommendations based on data analysis to inform business decisions.
• Create and maintain dashboards or reports to monitor key metrics and market performance, as well as visualize advanced analytics outcomes.

Your profile

Job Requirements: Education: Masters in Biomedical Engineering, Biostatistics, Data Science, Computer Science or related field with 2-5 years relevant experience or PhD with 1 years of relevant experience required. Skills/knowledge/behavioural competencies:

• Knowledge of statistics, programming, and real-world studies
• Prior programming experience using medical health records, RWD or claims data is a bonus.
• SQL, Python, Pandas, SkLearn, NLP, Power BI, Git, Data Visualization
• Good organizational, interpersonal, and communication skills
• Ability to effectively manage and prioritize multiple tasks and projects.
• Excellent accuracy and attention to detail.