Senior Data Scientist analyzing data to drive customer success and business growth at Adobe. Conducting statistical analyses and collaborating with multi - functional teams for product enhancement.
JJ
Hybrid Director, R&D Data Science – Digital Health, Real-World Evidence, Neuroscience
Posted last month
About the role
- Director of R&D Data Science & Digital Health driving innovative evidence solutions at Johnson & Johnson. Leading advanced analytics to support neuroscience drug discovery.
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.
Requirements
- 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.
Benefits
- medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance
- Company’s consolidated retirement plan (pension)
- Company’s savings plan (401(k))
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Scientist analyzing demand for Adobe's products. Collaborating with marketing teams to enhance customer experiences and improve campaign performance.
Senior Data Scientist in a hybrid role focusing on AI Readiness and solutions delivery for clients. Mentoring junior data scientists while managing client engagements and project execution.
Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
Data Scientist developing machine learning solutions and delivering insights for operational decisions. Collaborating with stakeholders to apply analytical techniques and improve business outcomes.
Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data - driven insights to support strategic decision - making in credit operations.
Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.