Data Scientist - Artificial Intelligence Initiatives

at University of Kansas Medical Center in Kansas City, Kansas, United States

Job Description

• Develop, train, and validate machine learning and AI models, including physics-informed and hybrid approaches.
  
• Collaborate with faculty, clinicians, and research teams to design studies, define data strategies, and determine analytic feasibility.
  
• Use and harmonize diverse datasets (e.g., EHR, imaging, wearables, surveys) for research projects, applying methods to address missingness, site variation, and data quality issues.
  
• Build, maintain, and document reproducible analytics workflows, including code, versioning, and orchestration aligned with Center standards.
  
• Contribute to the development of Center-wide standards, guidelines, and best practices for data science, reproducibility, and ethical AI.
  
• Create and maintain documentation (e.g., model summaries, data dictionaries, pipeline guides) to ensure reproducibility, compliance, and smooth knowledge transfer across teams.
  
• Scale experiments using high-performance computing (HPC) and/or cloud platforms, optimizing workloads and resources.
  
• Conduct model tuning, cross-validation, calibration, and sensitivity analyses to ensure robust and generalizable results.
  
• Assess and mitigate algorithmic bias; apply explainable AI techniques to promote stakeholder trust and compliance readiness.
  
• Provide technical support for grant proposals, including methods, figures, and preliminary results.
  
• Develop and deliver training sessions, workshops, and tutorials for faculty, staff, and students on data science methods, reproducible workflows, and AI best practices.
  
• Mentor students or junior staff and communicate progress and technical findings to eAI Center leadership, collaborators, and external partners.
  
• Ensure activities are conducted in a professional and ethical manner, and in accordance with KUMC Policies and applicable local, state and federal laws and regulations.
  
• Performs job responsibilities in a safe and secure manner.
  
• Ensure coordination of area work with other areas of KUMC to ensure integration and support of KUMC goals and objectives.
  
• Develop, maintain and expand job-specific knowledge and skills to keep pace with industry changes and support the university's commitment to excellence and innovation.
  
• May participate in relevant committees, task force, or other similar activities.
  
• Maintain confidentiality of medical center, employee, and patient information. Handle sensitive data with discretion and in accordance with KUMC policies and legal requirements.
  
• Maintain the highest standards of integrity, respect, professional conduct, and ethical standards.
  

• 5 years of experience in Data Science, analytics, or applied machine learning. Education may be substituted for experience on a year for year basis.
  
• Experience in Python or R, and experience with data analysis and machine/deep learning libraries (e.g., pandas, scikit-learn, NumPy, PyTorch, Tensorflow, Keras).
  
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and/or high-performance computing environments.
  
• Experience working in a collaborative team environment.
  
• Experience and knowledge of AI ethics, bias mitigation, and explainability techniques.
  

• Master's degree in Data Science, Computer Science, Statistics, Biomedical Informatics, or a related quantitative field.
  

• 3 years of experience in Data Science, analytics, or applied machine learning.
  
• Experience using MLOps tools and practices (e.g., model versioning, CI/CD pipelines, model monitoring).
  
• Experience with data governance, privacy, and compliance frameworks (e.g., HIPAA, IRB protocols).
  
• Experience contributing to grant proposals or publications.
  

• Analytical and problem-solving skills.
  
• Communication skills.