Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at

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:

Horsham Pennsylvania United States of America New Brunswick New Jersey 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:

Johnson & Johnson Innovative Medicine is recruiting for Director R&D Data Science & Digital Health Real-World Evidence (RWE) Neuroscience

The primary location for this position is flexible Titusville NJ; Raritan NJ; Spring House PA; Cambridge MA; or San Diego CA.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology immunology neuroscience cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit 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 clinical programs and regulatory submissions.

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 at scientific meetings.

• Stay current with emerging statistical methodologies regulatory guidance and best practices in RWE.

Qualifications:

• Ph.D. or Masters 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.

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 () or contact AskGS to be directed to your accommodation resource.

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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 :

$160000 - $276000

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical dental vision life insurance short- and long-term disability business accident insurance and group legal insurance. Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys 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 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 Condolence Leave 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave 10 days Volunteer Leave 4 days Military Spouse Time-Off 80 hours Additional information can be found through the link below. Experience:

Director