Postdoctoral Researcher - Machine Learning and Big Data in Electronic Health Records and Other High Consequence Applications

About the Position:

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our dynamic team and contribute to cutting-edge research in the field of machine learning and big data applied to electronic health records (EHRs). As a Postdoctoral Researcher, you will play a crucial role in advancing our understanding of how machine learning and big data analytics can transform healthcare by extracting valuable insights from vast and diverse EHR datasets. This position offers an exciting opportunity to collaborate with interdisciplinary experts, leverage state-of-the-art technologies, and significantly impact the future of healthcare and other high-consequence applications. US citizenship is a prerequisite.

Responsibilities:

The role involves a broad spectrum of responsibilities, merging innovative research methodologies with advanced technology application and leadership in high-consequence domains. The successful candidate will support some or all of the following depending on skills and experience:

Research and Development:

• Conduct innovative research to develop novel algorithms, models, and techniques using machine learning and big data methods, with applications ranging from analyzing electronic health records (EHRs) to broader areas including digital twins and complex systems simulations.
• Design and implement scalable data pipelines for preprocessing, cleaning, and integrating diverse data sources to create reliable datasets, focusing on both large datasets and those with scarce data.
• Apply statistical analysis and machine learning techniques to extract valuable insights, identifying patterns, outcomes, predictive models, and recommendations tailored to specific domains.
• Conduct research and technology application development in machine learning/AI, digital twins, and computer simulations for complex processes and operations.

Collaboration and Leadership:

• Collaborate with professionals, domain experts, and partner organizations to identify research questions and translate them into actionable solutions.
• Play a leadership role in the conceptualization and implementation of simulation engineering, supporting the setup and expansion of laboratory facilities
• Work independently and as part of a team, providing leadership and direction to junior researchers, students, and postdocs.
• Confers with principal investigators (PI) in developing and executing comprehensive research projects and plans.

Technology and Methodology:

• Develop complex systems architectures, engage in software engineering (programming), and database interface development.
• Utilize computer simulations, modeling, and augmented reality/virtual reality (AR/VR) for predictive analytics and "what-if" scenarios.
• Develop advanced machine learning/AI models for a wide variety of applications.

Communication and Management:

• Prepare manuscripts, publications, grant proposals, and presentations to disseminate research findings.
• Coordinate and direct the work of students, postdocs, and less senior researchers, ensuring collaborative and productive research activities.
• Provide oversight of lab equipment, servers, workstations, and software inventory, serving as a primary expert on the lab's computing operations integration.
• Responsible for overseeing the lab's computing infrastructure, ensuring lab operations safety, and compliance with relevant standards and regulations.

This comprehensive role is designed for individuals eager to drive forward the state of the art in machine learning, data analytics, and simulation engineering across various critical sectors. The successful candidate will demonstrate a robust capability for independent judgment, leadership, and collaboration, underpinning significant advancements in research and development.