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; set up and operate analytics infrastructure for MoonLake Commercial across several data sources and platforms; and drive additional data and insights related to cross‐functional projects, such as scientific papers. Major Accountabilities: Leverage SQL and Python for efficient data extraction, manipulation, and interpretation for patient claims and plan‐level insurance data, e.g.: Conduct in‐depth analysis of patient lifetime treatment journey. Evaluate healthcare practitioner activity across the market. Analyse US healthcare claims data to evaluate market presence and trends among competitors. Analyse healthcare insurance plan‐level data to assess prescription market coverage. Merge and harmonise multiple data sources for advanced analytics. Identify gaps and opportunities in competitor insurance coverage and market positioning. Scale and professionalise 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 visualise 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 year 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 organisational, interpersonal, and communication skills Ability to effectively manage and prioritise multiple tasks and projects. Excellent accuracy and attention to detail. Why us? An exciting job opportunity awaits you! MoonLake is a dynamic and innovative company pushing the boundaries of possibility, and we are looking for passionate individuals to join our stellar team. What we offer: Learning Environment: An opportunity to learn and grow alongside experienced professionals in a supportive and innovative biotech environment. Impactful Work: Contribute to ground‐breaking projects that have the potential to transform global healthcare. Flexibility and Balance: Work remotely/hybrid, enjoying a healthy work‐life balance while making meaningful contributions to our team. Career Growth: A clear path for career progression, with the chance to take on more responsibilities as you develop your skills. #J-18808-Ljbffr