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Metro location plus a common data scientist title with broad Python/SQL requirements increases applicant competition.
Oncology real-world data and clinical trial analytics require specialized domain knowledge, limiting transferability.
Requires clinical RWD familiarity plus mandatory Python/SQL skills, producing moderate filtering.
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Analyze large Real World Data (EMR, genomics, clinical data) in Oncology, including descriptive and predictive analytics for outcome prediction.
Develop and deploy advanced predictive models for production use.
Collaborate with Product Management to translate customer and product requirements into technical solutions and communicate findings to Senior Management and customers.
Experience with real world data analytics and/or clinical trial analytics and predictive modeling is highly desired.
Proficiency in SQL and hands-on experience with Python.
Degree in a quantitative field is required.
Work Experience Required: Not explicitly mentioned in the JD.
Experience or strong familiarity with biostatistics and machine learning techniques relevant to clinical and oncology data.
Demonstrates ability to meet deadlines and execute projects effectively in a startup environment.
Capable of bridging technical work with product and customer needs, communicating effectively with diverse stakeholders.