The Wang Lab is recruiting a machine learning/artificial intelligence postdoc in medical image and clinical data fusion in the Department of Quantitative Health Sciences at Cleveland Clinic Lerner Research Institute. The postdoc will be involved in the development of innovative approaches and applications of computational and machine learning methods, from clinical data set integration to statistical analysis and deep learning. The lab utilizes several open-source programming environments, including R and Python. The goal is to improve phenotypic classification and prediction of treatment outcomes in Patients with cardiovascular diseases. We use large cardiac magnetic resonance imaging (cMRI) data and clinical EHR data sets to advance therapies and our understanding of diseases.

Principal Investigator: Xiaofeng Wang, PhD

Lerner Research Institute Department: Quantitative Health Sciences

Lab Research Topics:

• Clinical machine learning models
• Radiomics
• Real-world data (RWD) and real-world evidence (RWE)
• Causal inference
• Medical informatics
• For more information about the lab’s research, please visit: https://www.lerner.ccf.org/quantitative-health/wang/ or contact Xiaofeng Wang at [email protected]

Job Responsibilities:

• Independent project design with the goal of data generation, analysis, interpretation and manuscript preparation
• Proficient in R/Python and data science
• Comprehensive knowledge of biostatistics and modeling
• Designs and deploys machine learning/artificial intelligence models

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:

• Experience in machine learning/deep learning with medical imaging (MRI, CT, etc)
• Experience in data integration and big data analytics

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:

All application materials should be submitted directly via email to Xiaofeng Wang at [email protected].

• Cover letter
• CV
• Research statement
• Contact information for three references 

Keywords: Postdoc, Research, LRI, Machine Learning, Medical Imaging, Artificial Intelligence, Deep Learning, Biostatistics, Radiomics, Prediction, Modeling, MRI, Python, R, Coding