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Job responsibilities :
Lead execution of initial queries and feasibility requests
Be at the forefront of understanding what life science companies are interesting in leveraging real-world data for
Inform in a data-driven whether like questions are a good match and well aligned
Present and communicate findings to internal partners, supporting decision-making and innovation
Contribute to a culture of learning and scientific rigor, continuously improving
methodological standards
Skills and Experience that Will Help You Succeed
Proven expertise coding and analyzing healthcare datasets to generate metrics based on
real-world data
Demonstrated ability to execute implementation requirements that include subsetting a
large clinical database to a select set of patients that meet a number of criteria
Ability to collaborate cross-functionally with teams (e.g., Commercial, Product, Medical,
Engineering, etc.) to translate clinical investigation questions into programming logic
Essential Requirements
Master's 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
Experience with cross-functional teams and translation requests into aggregate metrics
Prior experience working with clinical dat
Job ID: 135026001