At Johnson & Johnson, the business problem is to improve and expand the possibilities of Cardiovascular by developing leading solutions for heart recovery, electrophysiology, and stroke, and to enhance patient outcomes through innovative data science methods.
Requirements
- PhD or Master’s degree in statistics, computer science, or a related quantitative field is required.
- At least 6 years of hands-on technical data analysis and modeling experience
- Demonstrated technical experience in building machine learning pipelines is required.
- Experience with traditional machine learning algorithms such as random forest, boosting, and regularization methods is required.
- Proven experience with deep learning and a variety of deep neural network architectures is required.
- Thorough understanding of machine learning concepts such as training/testing/validation/cross-validation, loss functions, and optimization is required.
- Proficient in one or more of Python, R, Scala, or other data science languages is required.
Responsibilities
- Conceive, develop, and implement AI/machine learning and advanced analytics approaches to develop novel solutions to high-priority scientific problems, focusing on the application of AI to clinical trials
- Design and execute analysis plans independently for various phases of clinical studies, assuming a leadership role in creating the data science strategy.
- Review clinical study protocols and Case Report Forms (CRFs) for proposed studies with respect to data science and statistical methodology needs.
- Interact with Biostatistics, Data Management/Engineering, Regulatory, and Clinical staff to define and clarify project requirements.
- Produce data science reports that may be incorporated into internal clinical reports or regulatory submissions.
- Clearly articulate highly technical methods and results to diverse audiences to drive decision-making
- Shape internal/external collaborations to define the scope of research questions and deliver impactful solutions
Other
- PhD or Master’s degree in statistics, computer science, or a related quantitative field is required.
- Excellent verbal and written communication skills is required.
- Strong publication record in high impact journals is strongly preferred.
- Experience in the healthcare industry, including pharmaceuticals and medical devices, is highly preferred.
- Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
