Johnson & Johnson Innovative Medicine
Principal Data Scientist, Real World Evidence (RWE)
Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania, United States, 19477
Principal Data Scientist, Real World Evidence (RWE)
Johnson & Johnson Innovative Medicine is recruiting for a
Principal Data Scientist, Real World Evidence (RWE) . The primary location for this position is flexible – Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D Data Science & Digital Health, Real-World Evidence (RWE) team is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including real-world data, trial data, and emerging data sources to support our clinical programs and regulatory submissions. The Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Oncology, Immunology, or Neuroscience. Key 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 Required Qualifications
A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, 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 Qualifications
Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting Familiarity with drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. The anticipated base pay range for this position is : $115,000 - $197,800 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in company-sponsored benefit programs, including medical, dental, vision, life insurance, disability, and more.
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Johnson & Johnson Innovative Medicine is recruiting for a
Principal Data Scientist, Real World Evidence (RWE) . The primary location for this position is flexible – Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D Data Science & Digital Health, Real-World Evidence (RWE) team is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including real-world data, trial data, and emerging data sources to support our clinical programs and regulatory submissions. The Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Oncology, Immunology, or Neuroscience. Key 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 Required Qualifications
A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, 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 Qualifications
Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting Familiarity with drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. The anticipated base pay range for this position is : $115,000 - $197,800 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in company-sponsored benefit programs, including medical, dental, vision, life insurance, disability, and more.
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