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Company | Johnson & Johnson |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Hospitals and Health Care |
Expires | 2023-07-20 |
Posted at | 11 months ago |
- Mentor junior team members in the application of appropriate methods for real-world data
- Closely partner with the Data Science Portfolio Management and Therapeutic Area teams to execute on the priorities, building a roadmap to deliver the projects from data feasibility to final presentation to senior cross-functional leaders
- Implement use-cases adapting and delivering real-world data insights
- Conceive, develop, and implement artificial intelligence solutions to high-priority scientific problems
- Co-participant in cross-functional collaborations with external companies and internal scientific and data science teams
- Shape internal/external collaborations and define the scope of research questions
- Develop machine learning and artificial intelligence solutions to accelerate and enable global development
- Contribute to patient modeling and enrollment simulations to have accurate projections for completion of enrollment
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making
- Passionate about leveraging data to drive scientific innovation
- Proficiency with one or more programming languages such as Python, R, SQL
- A Ph.D. degree, or a master’s degree (with at least 3 years of proven experience within a start-up, technology, or healthcare industry) in a quantitative discipline (e.g., artificial intelligence, computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics, or similar)
- Experience with machine learning, deep learning, statistical modeling, causal inference, multivariate regression and classification, and natural language processing
- Excellent interpersonal, communication, and presentation skills
- Hands-on technical data analysis and machine learning modeling experience (across roles)
- Demonstrated experience in one of the following domains: real-world data (EHR, insurance claims, registry data), building patient cohorts, enrollment modeling, clinical trial analytics
- Experience delivering on Data Science projects using predictive technologies, forecasting, natural language processing, artificial intelligence, or machine learning
- Experience working with healthcare professionals
- Ability to effectively communicate technical work to a wide audience
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