Johnson & Johnson
Senior Principal Data Scientist, Real World Evidence (RWE)
Johnson & Johnson, Titusville, New Jersey, us, 08560
Senior Principal Data Scientist, Real World Evidence (RWE)
2 days ago Be among the first 25 applicants
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.
All Job Posting Locations: Cambridge, Massachusetts; San Diego, California; Spring House, Pennsylvania; Titusville, New Jersey.
Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Senior 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. May consider remote on a case by case basis.
Key Responsibilities
Be a hands‑on technical leader, leading a portfolio of RWE projects while developing best practices and common technical tools.
Support the development of the R&D RWE strategy for the generation and utilization of RWE for our key pipeline assets.
End‑to‑end expertise in RWE studies (external control arm, novel endpoints, trial design optimization) including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Assess treatment patterns and unmet needs using RWE to inform asset positioning.
Ensure RWE generation aligned with regulatory requirements and scientific standards.
Identify evidence opportunities and develop innovative evidence programs to support early development, registration, and post‑marketing phases.
Shape the selection of real‑world data sources, establish data quality standards, and ensure data robustness and relevance for clinical research.
Lead and develop junior researchers and programmers in executing strategies to develop RWE from concept through publication.
Support regulatory interactions and meetings with scientific data packages and expertise.
Required Qualifications
A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar).
Relevant experience (4+ years for Ph.D., 6+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries.
Extensive hands‑on experience with data engineering and exploratory data analysis, statistical modeling, time‑to‑event analyses, comparative effectiveness analyses, causal inference methods.
Demonstrated expertise with multiple real‑world data sources.
Expert proficiency in R and SQL.
Familiarity with data structure and programming of clinical trial data.
Strong communication and influencing skills, capable of inspiring teams and driving cross‑functional alignment.
Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges.
Preferred Qualifications
Familiarity with drug discovery and the clinical development process.
Expertise in oncology, Immunology or Neuroscience drug development.
Experience in regulatory‑grade evidence, communicating and responding to agency reviews and comments.
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: $137,000 - $235,750.
Benefits
Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits: vacation up to 120 hours per calendar year; sick time up to 40 hours per calendar year; holiday pay, including floating holidays up to 13 days per calendar year; work, personal and family time up to 40 hours per calendar year.
Additional benefit information can be found through the link below.
#J-18808-Ljbffr
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.
All Job Posting Locations: Cambridge, Massachusetts; San Diego, California; Spring House, Pennsylvania; Titusville, New Jersey.
Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Senior 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. May consider remote on a case by case basis.
Key Responsibilities
Be a hands‑on technical leader, leading a portfolio of RWE projects while developing best practices and common technical tools.
Support the development of the R&D RWE strategy for the generation and utilization of RWE for our key pipeline assets.
End‑to‑end expertise in RWE studies (external control arm, novel endpoints, trial design optimization) including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Assess treatment patterns and unmet needs using RWE to inform asset positioning.
Ensure RWE generation aligned with regulatory requirements and scientific standards.
Identify evidence opportunities and develop innovative evidence programs to support early development, registration, and post‑marketing phases.
Shape the selection of real‑world data sources, establish data quality standards, and ensure data robustness and relevance for clinical research.
Lead and develop junior researchers and programmers in executing strategies to develop RWE from concept through publication.
Support regulatory interactions and meetings with scientific data packages and expertise.
Required Qualifications
A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar).
Relevant experience (4+ years for Ph.D., 6+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries.
Extensive hands‑on experience with data engineering and exploratory data analysis, statistical modeling, time‑to‑event analyses, comparative effectiveness analyses, causal inference methods.
Demonstrated expertise with multiple real‑world data sources.
Expert proficiency in R and SQL.
Familiarity with data structure and programming of clinical trial data.
Strong communication and influencing skills, capable of inspiring teams and driving cross‑functional alignment.
Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges.
Preferred Qualifications
Familiarity with drug discovery and the clinical development process.
Expertise in oncology, Immunology or Neuroscience drug development.
Experience in regulatory‑grade evidence, communicating and responding to agency reviews and comments.
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: $137,000 - $235,750.
Benefits
Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits: vacation up to 120 hours per calendar year; sick time up to 40 hours per calendar year; holiday pay, including floating holidays up to 13 days per calendar year; work, personal and family time up to 40 hours per calendar year.
Additional benefit information can be found through the link below.
#J-18808-Ljbffr