Integrated Data Product
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About this role
We are searching for the best talent for Integrated Data Product Intern to be in , Raritan, New Jersey.
- The Intern term is from May to August, 2026.
- Full time requirement (40 hours per week).
You will be responsible
In this role, you will support Responsible AI activities for AI/ML use cases across the pharmaceutical value chain, conducting research on emerging AI regulations and external guidance related to explainability, algorithmic accountability, and risk management in regulated environments. You will track industry developments, summarize key insights, and translate them into practical recommendations for internal teams. Additionally, you will help prepare presentations, briefing materials, and internal guidance documents to advance Responsible AI practices within the organization.
Qualifications / Requirements:
- Completion of Undergraduate Freshman year at an accredited University is required.
- Currently pursuing master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline. , or related fields.
- Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
- Strong working knowledge of data science and machine learning.
- Proficiency in one or more of the following programming languages: Python, R, MATLAB
- Familiarity with predictive modeling and analysis of large datasets.
- Demonstrate a solid technical background in developing physiological signal processing algorithms and a good understanding of the underlying mathematics.
- Strong technical communication and presentation skills.
- Basic understanding of healthcare systems and digital health technologies.
Experience in one or more of the following
- Knowledge of epidemiology and experience in analysis of healthcare datasets: claims, EMR/EHR, survey, observation studies.
- Conduct research on the latest trends in digital health and propose innovative ideas for new initiatives or improvements.
- Possess a strong knowledge of GPU and high-performance computing techniques for efficient data processing.
- Experience with one of the cloud providers like AWS/Azure/GCP, have knowledge developing both cloud-native applications