Johnson & Johnson
Principal Data Scientist, Real World Evidence (RWE)
Johnson & Johnson, Cambridge, Massachusetts, us, 02140
Principal Data Scientist, Real World Evidence (RWE)
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Principal Data Scientist, Real World Evidence (RWE)
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Johnson & Johnson At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Job Function : Data Analytics & Computational Sciences Job Sub Function : Data Science Job Category : Scientific/Technology All Job Posting Locations : Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description : Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health 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 The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions. 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 and exposure to 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
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Join to apply for the
Principal Data Scientist, Real World Evidence (RWE)
role at
Johnson & Johnson At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Job Function : Data Analytics & Computational Sciences Job Sub Function : Data Science Job Category : Scientific/Technology All Job Posting Locations : Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description : Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health 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 The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions. 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 and exposure to 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
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