Quantitative Analyst

Role Overview: As a key member of the team, you will lead the execution of initial queries and feasibility requests in the healthcare industry. Your role will involve understanding the interests of life science companies in leveraging real-world data and determining whether certain queries align well. You will be responsible for presenting findings to internal partners, contributing to a culture of learning, and continuously improving methodological standards. Key Responsibilities: - Execute initial queries and feasibility requests - Analyze healthcare datasets to generate metrics based on real-world data - Collaborate with cross-functional teams to translate clinical investigation questions into programming logic - Present findings to internal partners to support decision-making and innovation - Contribute to a culture of learning and scientific rigor by continuously improving methodological standards Qualifications Required: - Masters or Doctorate in Engineering, Computer Science, Math, Statistics, or related quantitative field, or equivalent hands-on experience - 3+ years of direct experience with healthcare datasets (EHR, outcomes, messy/complex data) - Expertise in SQL, Python, PySpark, cloud environments (AWS), Databricks, and Git-based workflows - Demonstrated ability to execute implementation requirements with large clinical databases - Experience in collaborating cross-functionally with teams to translate requests into aggregate metrics Note: The job description does not include any additional details about the company.,