Johnson & Johnson Innovative Medicine
Senior Director, R&D Data Science & Digital Health – Neuropsychiatry
Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania, United States, 19477
Senior Director, R&D Data Science & Digital Health – Neuropsychiatry
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. 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
https://www.jnj.com .
Role Summary We are seeking an experienced and visionary
Senior Director
to lead our data science and digital health strategy for
neuropsychiatry . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real‑world evidence to accelerate drug discovery, development, and patient impact. You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory, and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda.
Key Responsibilities
Define and execute the data science and digital health strategy for neuropsychiatry, integrating computational biology, AI/ML, digital health, and clinical/RWE insights.
Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets.
Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways.
Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery.
Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real‑world impact assessment.
Build strong cross‑functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data‑driven neuroscience.
Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives.
May require approximately 25% domestic and international travel.
Qualifications
Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required.
10+ years of relevant industry or academic experience, with proven leadership in applying data‑driven methods to drug discovery and development is required.
7+ years of experience as a people manager is required.
Experience in clinical development with demonstrated expertise in neuropsychiatry is preferred.
Excellent communication skills, with the ability to translate complex data‑driven insights into clear strategies for senior stakeholders and external partners is required.
Technical expertise in at least two of the following areas is required: (1) multiomics integration and advanced statistical/causal inference methods; (2) digital health technologies and novel endpoints in clinical research; (3) large‑scale clinical datasets, EHR, and real‑world data with advanced modeling, longitudinal analysis, and patient stratification.
Track record of scientific contributions (presentations and publications) in this field is required.
Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required.
Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state‑of‑the‑art AI methodologies is a plus.
Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required.
Demonstrated success in leading cross‑disciplinary teams at the interface of data science, biology, and clinical development is required.
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.
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https://www.jnj.com .
Role Summary We are seeking an experienced and visionary
Senior Director
to lead our data science and digital health strategy for
neuropsychiatry . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real‑world evidence to accelerate drug discovery, development, and patient impact. You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory, and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda.
Key Responsibilities
Define and execute the data science and digital health strategy for neuropsychiatry, integrating computational biology, AI/ML, digital health, and clinical/RWE insights.
Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets.
Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways.
Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery.
Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real‑world impact assessment.
Build strong cross‑functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data‑driven neuroscience.
Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives.
May require approximately 25% domestic and international travel.
Qualifications
Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required.
10+ years of relevant industry or academic experience, with proven leadership in applying data‑driven methods to drug discovery and development is required.
7+ years of experience as a people manager is required.
Experience in clinical development with demonstrated expertise in neuropsychiatry is preferred.
Excellent communication skills, with the ability to translate complex data‑driven insights into clear strategies for senior stakeholders and external partners is required.
Technical expertise in at least two of the following areas is required: (1) multiomics integration and advanced statistical/causal inference methods; (2) digital health technologies and novel endpoints in clinical research; (3) large‑scale clinical datasets, EHR, and real‑world data with advanced modeling, longitudinal analysis, and patient stratification.
Track record of scientific contributions (presentations and publications) in this field is required.
Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required.
Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state‑of‑the‑art AI methodologies is a plus.
Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required.
Demonstrated success in leading cross‑disciplinary teams at the interface of data science, biology, and clinical development is required.
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.
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