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.
About the role
- Senior Principal Data Scientist leading RWE projects at Johnson & Johnson. Collaborating with interdisciplinary teams to improve patient outcomes in innovative medicine.
Responsibilities
- Be a hands-on technical leader, leading a portfolio of RWE projects while developing best practices and common technical tools
- Support the development of the R&D RWE strategy for the generation and utilization of RWE for our key pipeline assets
- End-to-end expertise in RWE studies (external control arm, novel endpoints, trial design optimization) including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation
- Assess treatment patterns and unmet needs using RWE to inform asset positioning
- Ensure RWE generation aligned with regulatory requirements and scientific standards
- Identify evidence opportunities and develop innovative evidence programs to support early development, registration, and post-marketing phases
- Shape the selection of real-world data sources, establish data quality standards, and ensure data robustness and relevance for clinical research
- Lead and develop junior researchers and programmers in executing strategies to develop RWE from concept through publication
- Support regulatory interactions and meetings with scientific data packages and expertise
Requirements
- A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
- Relevant experience (4+ years for Ph.D., 6+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries
- Extensive hands-on experience with data engineering and exploratory data analysis, statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods
- Demonstrated expertise with multiple real-world data sources
- Expert proficiency in R and SQL
- Familiarity with data structure and programming of clinical trial data
- Strong communication and influencing skills, capable of inspiring teams and driving cross-functional alignment
- Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges.
Benefits
- medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- Vacation – up to 120 hours per calendar year
- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year
- Holiday pay, including Floating Holidays – up to 13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
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