Johnson & Johnson
Director, Real World Evidence (RWE)
Johnson & Johnson, Spring House, Pennsylvania, United States, 19477
Join to apply for the
Director, 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.
Job Function:
Data Analytics & Computational Sciences,
Job Sub Function:
Data Science,
Job Category:
People Leader,
All Job Posting Locations:
Cambridge, Massachusetts; San Diego, California; Spring House, Pennsylvania; Titusville, New Jersey
Role Summary We are seeking a highly skilled and motivated
Scientific Director
to join our RWE team. The successful candidate will apply advanced statistical methods to support algorithm development, patient stratification, innovative trial design and novel endpoint development for neuroscience. This role will help shape the next generation of data‑driven solutions for neuroscience drug discovery and development, working closely with the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes.
Key Responsibilities
Design, develop, and validate statistical approaches and algorithms for patient stratification, leveraging both clinical trial and real‑world datasets.
Lead the statistical design, analysis, and validation of novel digital endpoints (e.g., wearables, speech, cognition) for neuroscience.
Partner with our multidisciplinary team to ensure biological and clinical relevance of patient stratification strategies and novel endpoints.
Apply rigorous statistical methodologies to algorithm development, ensuring reproducibility, robustness, and regulatory readiness.
Develop and maintain statistical analysis plans, simulation studies, and innovative methodologies tailored to multimodal datasets.
Apply advanced statistical and machine‑learning methods to large‑scale datasets, including EHRs, claims, registries and longitudinal cohort studies.
End‑to‑end expertise in RWE research including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Communicate findings and methodologies clearly to scientific, clinical, and non‑technical stakeholders.
Contribute to regulatory submissions, publications, and presentations at internal and scientific meetings.
Stay current with emerging statistical methodologies, regulatory guidance, and best practices in RWE.
Qualifications
Ph.D. or Master’s in biostatistics/statistics, epidemiology, or related field.
8+ years of experience in pharmaceutical, biotech, RWE consulting or healthcare analytics.
Expertise in statistical modeling including inference, Bayesian methodologies, time series analysis and functional data analysis approaches. Knowledge of state‑of‑the‑art AI methodologies is an advantage.
Experience working with real‑world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations.
Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA) is highly desirable.
Proficiency in statistical programming languages (R, Python, SAS, or equivalent).
Demonstrated ability to work in a cross‑functional environment, with excellent communication and collaboration skills.
A track record of scientific impact through publications, conference presentations, and/or regulatory interactions.
Experience working with neuroscience datasets (e.g., MRI, EEG, digital cognitive measures, biomarkers) and understanding of their clinical context is desired.
Required Skills
Advanced Analytics
Budget Management
Compliance Management
Critical Thinking
Data Analysis
Data Privacy Standards
Data Quality
Data Reporting
Data Savvy
Data Science
Data Visualization
Developing Others
Digital Fluency
Inclusive Leadership
Leadership
Program Management
Strategic Thinking
Succession Planning
Preferred Skills
Advanced Analytics
Budget Management
Compliance Management
Critical Thinking
Data Analysis
Data Privacy Standards
Data Quality
Data Reporting
Data Savvy
Data Science
Data Visualization
Developing Others
Digital Fluency
Inclusive Leadership
Leadership
Program Management
Strategic Thinking
Succession Planning
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.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
#J-18808-Ljbffr
Director, 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.
Job Function:
Data Analytics & Computational Sciences,
Job Sub Function:
Data Science,
Job Category:
People Leader,
All Job Posting Locations:
Cambridge, Massachusetts; San Diego, California; Spring House, Pennsylvania; Titusville, New Jersey
Role Summary We are seeking a highly skilled and motivated
Scientific Director
to join our RWE team. The successful candidate will apply advanced statistical methods to support algorithm development, patient stratification, innovative trial design and novel endpoint development for neuroscience. This role will help shape the next generation of data‑driven solutions for neuroscience drug discovery and development, working closely with the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes.
Key Responsibilities
Design, develop, and validate statistical approaches and algorithms for patient stratification, leveraging both clinical trial and real‑world datasets.
Lead the statistical design, analysis, and validation of novel digital endpoints (e.g., wearables, speech, cognition) for neuroscience.
Partner with our multidisciplinary team to ensure biological and clinical relevance of patient stratification strategies and novel endpoints.
Apply rigorous statistical methodologies to algorithm development, ensuring reproducibility, robustness, and regulatory readiness.
Develop and maintain statistical analysis plans, simulation studies, and innovative methodologies tailored to multimodal datasets.
Apply advanced statistical and machine‑learning methods to large‑scale datasets, including EHRs, claims, registries and longitudinal cohort studies.
End‑to‑end expertise in RWE research including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Communicate findings and methodologies clearly to scientific, clinical, and non‑technical stakeholders.
Contribute to regulatory submissions, publications, and presentations at internal and scientific meetings.
Stay current with emerging statistical methodologies, regulatory guidance, and best practices in RWE.
Qualifications
Ph.D. or Master’s in biostatistics/statistics, epidemiology, or related field.
8+ years of experience in pharmaceutical, biotech, RWE consulting or healthcare analytics.
Expertise in statistical modeling including inference, Bayesian methodologies, time series analysis and functional data analysis approaches. Knowledge of state‑of‑the‑art AI methodologies is an advantage.
Experience working with real‑world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations.
Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA) is highly desirable.
Proficiency in statistical programming languages (R, Python, SAS, or equivalent).
Demonstrated ability to work in a cross‑functional environment, with excellent communication and collaboration skills.
A track record of scientific impact through publications, conference presentations, and/or regulatory interactions.
Experience working with neuroscience datasets (e.g., MRI, EEG, digital cognitive measures, biomarkers) and understanding of their clinical context is desired.
Required Skills
Advanced Analytics
Budget Management
Compliance Management
Critical Thinking
Data Analysis
Data Privacy Standards
Data Quality
Data Reporting
Data Savvy
Data Science
Data Visualization
Developing Others
Digital Fluency
Inclusive Leadership
Leadership
Program Management
Strategic Thinking
Succession Planning
Preferred Skills
Advanced Analytics
Budget Management
Compliance Management
Critical Thinking
Data Analysis
Data Privacy Standards
Data Quality
Data Reporting
Data Savvy
Data Science
Data Visualization
Developing Others
Digital Fluency
Inclusive Leadership
Leadership
Program Management
Strategic Thinking
Succession Planning
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.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
#J-18808-Ljbffr