Postdoctoral Fellow - David Chen Lab

Postdoctoral Fellow - David Chen Lab

At Cleveland Clinic Health System, we believe in a better future for healthcare. And each of us is responsible for honoring our commitment to excellence, pushing the boundaries and transforming the patient experience, every day. We all have the power to help, heal and change lives beginning with our own. That's the power of the Cleveland Clinic Health System team, and The Power of Every One.

The Cleveland Clinic Cardiovascular Innovation Research Center (CIRC), in conjunction with the Artificial Intelligence and Informatics in Imaging and Healthcare lab (AIIIH) is seeking a highly motivated post-doctoral fellow with interest and expertise in analysis of medical imaging, radiologic reporting, and electronic health records (EHR) data. This position would be under the supervision of David Chen, PhD and Christopher Nguyen, PhD. The successful applicant will be able to demonstrate a commitment to research, a collaborative work ethic and strong communication skills, both written and verbal. This program is expected to be completed within 4 years.

The individual is expected to support a funded research project on democratizing cardiac magnetic resonance imaging in community health centers. The project features opportunity develop new methods to analyze vast amounts of existing cardiac imaging data and transfer these methods to a newly developed method to image the heart. The fellow will also have opportunity to work closely with clinical staff/support staff to understand translational barriers for clinical decision support. The fellow will be encouraged to develop his/her ideas and career development during the fellowship with full support from the Cleveland Clinic and the multi-disciplinary CIRC staff. Unique resources include over 50k cardiac imaging studies, opportunity to conduct both retrospective and prospective implementation studies, and a powerful GPU-enabled computational infrastructure.

Principal Investigator: David Chen, PhD

Cleveland Clinic Research Department: Radiology

Lab Research Topics:

• Artificial Intelligence
• Medical Imaging
• Clinical Informatics
• Report Generation

Job Responsibilities:

• Independent project design with the goal of data generation, analysis, interpretation and manuscript preparation
• Develop novel statistical and artificial intelligence techniques to analyze medical imaging data with focus on cardiac magnetic resonance imaging
• Mentor and grow a data scientists, PhD students, and medical students on data science projects
• Prepare work for academic publications
• Contribute to the development and submission of research grant funding proposals

Education:

• PhD or MD/PhD required
• MD with relevant laboratory experience may substitute for PhD

Languages:

• English Proficiency proof required for candidates arriving on J-1, J-2, or F1 + OPT visa status

Work Experience:

• Previous experience in a research or academic setting. Graduate student experience meets this requirement.
• Scientific writing experience

Additional Preferred Qualities:

• Familiarity with generative AI
• Familiarity with multi-modality representation learning
• Familiarity working in a clinical environment
• Motivated for research independence

Physical Requirements:

• Ability to perform work in a stationary position for extended periods
• Ability to operate a computer and other office equipment
• Ability to communicate and exchange accurate information
• Ability to distinguish color
• Manual dexterity to handle specimens and repair equipment
• Ability to lift and transport equipment or specimens weighing up to 20 pounds
• May be exposed to hazardous chemicals, bio-hazards, radioactive materials, etc.

Personal Protective Equipment:

• PPE per institutional requirements; may vary by laboratory

Preferred Application Materials:

• CV
• Cover letter including research statement
• All application materials should be submitted directly via email to David Chen.

Keywords: Postdoc, Research, LRI, Postdoc, Medical imaging, Deep learning, Cardiac magnetic resonance imaging, Radiology, Generative AI, Report generation, Natural language processing, Clinical informatics, Data science, Multi-modality