Senior Principal Scientist, Data Science RWE

Johnson & Johnson Co.; Titusville (NJ); On-site; USD 137,000 - 236,000; Full time

Benefits offered by this job

401(k) plan

Pension plan

Paid time off

Long-term incentive

Job summary

Johnson & Johnson Innovative Medicines seeks a hands‑on leader for the Real‑World Evidence & Advanced Analytics team. You will manage a portfolio of RWE projects, mentor colleagues, and develop best practices and tools to accelerate project delivery.

A Ph.D. in epidemiology or biostatistics is required, with expert coding in R, Python, or SAS and 5+ years in biopharma or healthcare. You will design studies, align with regulatory reviews, and translate data into actionable insights.

Qualifications

• Ph.D. in epidemiology or biostatistics.
• Expert coding skills in R, Python, or SAS.
• 5+ years in biopharma, RWE consulting, or related healthcare industries.
• Hands-on experience with data extraction, cleaning, and analysis; bias mitigation.
• Experience with multiple real-world data sources (EHR, claims, registry).
• Strong interpersonal, communication and presentation skills.

Responsibilities

• Lead a portfolio of Real‑World Evidence projects and mentor team members.
• Develop and maintain a common set of tools to accelerate project delivery.
• Design and execute end‑to‑end RWE studies from concept to interpretation.
• Provide guidance on RWD methodologies to reduce biases and support regulatory interactions.
• Generate actionable insights from post‑hoc analyses, observational databases, and literature reviews.

Skills

R

Python

SAS

Communication

Presentation

RWE data sources

Education

PhD in epidemiology or biostatistics

Tools

R

Python

SAS

Job description

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. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include:

• Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members.
• Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.
• End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
• Provide thought leadership and hands‑on programming expertise for developing and applying Real‑World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.
• Provide thought leadership and hands‑on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.

• Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures

• Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence

Required qualifications:

• A Ph.D. degree in epidemiology or biostatistics
• Expert coding skills using R, Python, or SAS
• At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
• Extensive hands‑on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases
• Expertise with multiple real‑world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure
• Excellent interpersonal, communication and presentation skills

Preferred qualifications:

• Familiarity with drug discovery and the clinical development process
• Subject matter knowledge in oncology, Immunology or Neuroscience
• 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.

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 ([e-mail]) or contact AskGS to be directed to your accommodation resource.

Preferred Skills:

Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company's long-term incentive program.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

• Vacation -120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
• Holiday pay, including Floating Holidays -13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave - 80 hours in a 52-week rolling period10 days
• Volunteer Leave - 32 hours per calendar year
• Military Spouse Time-Off - 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits