Director, R&D Data Science & Digital Health, RWE & Advanced Analytics

About this role

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: People Leader

All Job Posting Locations: Cambridge, Massachusetts, 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

Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE) Advanced Analytics. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include:

• Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders.

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

• Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery.

• Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.

• Provide scientific leadership in 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 to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions.

• Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures

Required qualifications: • A Ph.D. degree in epidemiology or biostatistics

• Good coding skills using R

• At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries

• At least 5 years of experience as a people manager

• Extensive hands-on experience with data analysis and 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: • Expertise in drug development and experience working in a matrixed organization

• Subject matter knowledge in oncology

• 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  (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD

Required Skills:     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     The anticipated base pay range for this position is : $164,000.00 - $282,900.00

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 cale

Similar jobs

• Senior Principal Scientist, Data Science RWE — Johnson & Johnson · Titusville, New Jersey, United States | Cambridge, Massachusetts, United States | Raritan, New Jersey, United States
• Leader of R&D Digitalization & Advanced Analytics — Fresenius Kabi · Melrose Park, IL
• Director, Epidemiology & RWE Sciences — Ipsen · Cambridge (US)
• Associate Director, AI Quality And Governance – R&D Data Science & Digital Health — Johnson & Johnson · Titusville, New Jersey, United States | Cambridge, Massachusetts, United States | Raritan, New Jersey, United States
• Director, Global Real World Evidence (RWE) — Johnson & Johnson · Raritan, New Jersey, United States
• Director, Data & Analytics — Biibhr · Cambridge, MA
• Director, Data & Analytics — Lennar · Salem OR - Virtual
• Director, Data Analytics — Polymarket · New York