Clinical Research Data Specialist I - Karsh Division of Gastroenterology and Hepatology

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About the Team

Dr. Hyunseok Kim’s clinical research team within the Karsh Division of Gastroenterology and Hepatology at Cedars-Sinai Medical Center is dedicated to advancing precision medicine approaches for chronic liver diseases. Led by a physician-scientist with specialized training in hepatology, epidemiology, biostatistics, and genetic epidemiology, his program focuses on clinical outcomes research and the development of AI-based predictive models using clinical and imaging data. Ideally, we are looking for someone who can contribute to both data management and independent statistical/computational analyses.

About the Role

The Clinical Research Data Specialist I handles the data for assigned research studies. This will include, clinical data abstraction, processing data, maintaining record systems, and producing project reports for studies. Ensures compliance with all federal and local agencies including the Food and Drug Administration (FDA) and local Institutional Review Board.

Primary Duties and Responsibilities:

• Manages and maintains research data to ensure accuracy, integrity, and security of complex, large computerized records systems. This includes performing data searches and other related administrative tasks.
• Processes clinical data using a range of computer applications and database systems to support cleaning and management of subject or patient data.
• Develops forms for data collection and performs clinical data collection/abstraction.
• Produces project reports for research studies.
• Understands regulations, policies, protocols and procedures to control and maintain accurate records.
• Maintains research practices using Good Clinical Practice (GCP) guidelines.
• Maintains strict patient confidentiality according to HIPAA regulations and applicable law.
• Participates in required training and education programs.

Required Qualifications:

• High School Diploma/GED is required.
• 1 year of proven experience in a similar position or related research field is required.

Preferred Qualifications:

• Bachelor's degree or Master's degree in Data Science, Statistics, Biostatistics, Computer Science, Bioinformatics, Biomedical Engineering, or in related field of research.
• Proficiency in Python and/or R for data processing, statistical analysis, and visualization.
• Experience with statistical modeling, including regression analysis, survival analysis, and predictive modeling.
• Familiarity with machine learning methods and model development, validation, and performance evaluation.
• Experience managing, cleaning, and analyzing large clinical, electronic health record (EHR), or biomedical research datasets.
• Knowledge of SQL, REDCap, or other research database systems.
• Experience with medical imaging analysis, radiomics, or AI applications in healthcare is highly desirable.
• Experience contributing to academic research, including preparation of abstracts, manuscripts, and scientific presentations.
• Strong analytical, problem-solving, communication, and collaborative skills.