Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities
Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence.
Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools.
Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases.
Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions.
Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures.

Requirements

A Ph.D. degree in epidemiology or biostatistics
Expert coding skills using R, Python, or SAS
At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
At least 5 years of experience as a people manager
Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases
Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure
Excellent interpersonal, communication and presentation skills.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

RPythonSASdata extractiondata cleaningdata analysisstatistical methodsstudy designprogramminginterpretation

Soft Skills

leadershipmentoringcommunicationinterpersonal skillspresentation skills

Certifications

Ph.D. in epidemiologyPh.D. in biostatistics