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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Beerse, Antwerp, Belgium

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. including Beerse, Belgium

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 https://innovativemedicine.jnj.com/

The 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 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.

 

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.
 

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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