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Johnson & Johnson Innovative Medicine · 3 days ago

Principal Data Scientist, Real World Evidence (RWE)

Cambridge, MA

Full-time

Hybrid

Senior Level, Lead/Staff

$115K/yr - $198K/yr

2+ years exp

Johnson & Johnson Innovative Medicine is dedicated to healthcare innovation and improving global health outcomes. The Principal Data Scientist, Real World Evidence (RWE) will lead projects using real-world data to provide insights that support clinical programs and regulatory submissions, collaborating with multidisciplinary teams to enhance patient outcomes.

Pharmaceuticals

Responsibilities

Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets

Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data

End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation

Analyze and interpret data to support urgent requests from internal and external stakeholders

Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools

Create study protocols, statistical analysis plans, and statistical programming deliverables

Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making

Ensure RWE generation aligned with regulatory requirements and scientific standards

Qualification

Ph.D.Master's degreeRSQL proficiencyData engineering experienceReal-world evidence studiesPredictive technologiesInterpersonal skillsCommunication skillsPresentation skills

Required

A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, or similar)

Relevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries

Extensive hands-on experience with data engineering and data analysis

Proven track record of consistently delivering on high impact data science projects

Expert proficiency in R and SQL

Excellent interpersonal, communication, and presentation skills

Preferred

Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting

Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology