Johnson & Johnson Innovative Medicine
Senior Director, R&D Data Science & Digital Health – Neurodegeneration
Johnson & Johnson Innovative Medicine, Cambridge, Massachusetts, us, 02140
Overview
Senior Director, R&D Data Science & Digital Health – Neurodegeneration at Johnson & Johnson Innovative Medicine. This role can be located in Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. Approximately 25% travel (domestic and international). Role Summary
We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neurodegenerative diseases. The role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact. You will partner with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes, as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neurodegenerative disorders. Key Responsibilities
Define and execute the data science and digital health strategy for neurodegeneration, 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. Qualifications
Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development. 7+ years of experience as a people manager. Experience in clinical development with demonstrated expertise in neurodegeneration preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners. Technical expertise in at least two of the following areas: (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, RWE, and advanced modeling/patient stratification. Track record of scientific contributions (presentations and publications). Familiarity with data standards, privacy regulations, and regulatory qualification pathways. Knowledge of data infrastructures, data analysis pipelines, and state-of-the-art AI methodologies is a plus. Proficiency in programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development. Location and Travel
Locations: Cambridge, MA (preferred); Spring House, PA; Titusville, NJ; San Diego, CA. Travel: approximately 25% domestically and internationally. Compensation and Benefits
The anticipated base pay range is $193,000 to $333,500. Eligible for annual performance bonus and a comprehensive benefits package including medical, dental, vision, life insurance, disability, retirement plans, and other employee benefits. Details provided during the interview process. Equal Opportunity
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 law. We provide accommodations for applicants with disabilities upon request. About this Posting
Johnson & Johnson is recruiting for the role described above. For more information, visit https://www.jnj.com/innovative-medicine.
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Senior Director, R&D Data Science & Digital Health – Neurodegeneration at Johnson & Johnson Innovative Medicine. This role can be located in Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. Approximately 25% travel (domestic and international). Role Summary
We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neurodegenerative diseases. The role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact. You will partner with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes, as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neurodegenerative disorders. Key Responsibilities
Define and execute the data science and digital health strategy for neurodegeneration, 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. Qualifications
Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development. 7+ years of experience as a people manager. Experience in clinical development with demonstrated expertise in neurodegeneration preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners. Technical expertise in at least two of the following areas: (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, RWE, and advanced modeling/patient stratification. Track record of scientific contributions (presentations and publications). Familiarity with data standards, privacy regulations, and regulatory qualification pathways. Knowledge of data infrastructures, data analysis pipelines, and state-of-the-art AI methodologies is a plus. Proficiency in programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development. Location and Travel
Locations: Cambridge, MA (preferred); Spring House, PA; Titusville, NJ; San Diego, CA. Travel: approximately 25% domestically and internationally. Compensation and Benefits
The anticipated base pay range is $193,000 to $333,500. Eligible for annual performance bonus and a comprehensive benefits package including medical, dental, vision, life insurance, disability, retirement plans, and other employee benefits. Details provided during the interview process. Equal Opportunity
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 law. We provide accommodations for applicants with disabilities upon request. About this Posting
Johnson & Johnson is recruiting for the role described above. For more information, visit https://www.jnj.com/innovative-medicine.
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