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Computational Health Scientist, Data Science and Machine Learning

Children's Mercy Kansas City, Kansas City, Missouri

Position Description:

The Health Services and Outcomes Research division at Children’s Mercy Kansas City invites applications for a postdoctoral research scholar position in area of health data science. This is a two-year post-doctoral appointment (with possible renewal) to provide advance research training to individuals with a computationally focused doctoral degree to develop a portfolio of applied healthcare research and further translational research goals at the Children's Mercy Research Institute.

Working as part of a multi-disciplinary team, the applicant will work closely with Dr. Keith Feldman, members of research institute, and Children’s Mercy’s clinical faculty to undertake an array of projects focusing on data extracted from electronic medical records, administrative records, and/or collected from large national consortium applied to the improvement of pediatric healthcare. The core of this research lies in the notion of augmentation, not automation. We are interested in answering questions and developing insights which enhance the effectiveness of those actively engaged in the healthcare system, augmenting existing knowledge rather than replacing the individual. In particular, within intensive care settings such as the NICU, where despite extensive monitoring and documentation a significant portion of the recorded information remains underutilized.

Emphasis will be on the exploration and analysis of observational longitudinal health data; focused on advancing evidence-based medicine through improved temporal representation of patient conditions, quantification of variability, and development of explainable patient models. While the scholar will be engaged in several ongoing projects, this opportunity will include emphasis on professional and scholarly development, including the opportunity to engage and lead new collaborations, develop funding proposals, and mentor junior trainees. The ideal candidate will be a self-motivated, solution-oriented thinker with a strong background in biostatistics, epidemiology, machine learning or data science.

At Children’s Mercy, we are committed to ensuring that everyone feels welcomed within our walls. A successful candidate for this position will join us as we strive to create a workplace that reflects the community we serve, as well as our core values of kindness, curiosity, inclusion, team, and integrity.

More information can be found at:


  • PhD Computer Science, Informatics, Biostatistics, or a closely related field
  • Fluency in python and/or R programming languages. Demonstrated experience in applied data mining, machine learning or statistical research
  • Preferred experience with common analytic packages (e.g., Statsmodels, Scikit-Learn, Tidyverse)
  • Experience analyzing and interpreting data from EMR/EHR and/or clinical data
  • Experience with SQL and other relational database query languages
  • Excellent written and oral communication skills with project management skills including the ability troubleshoot independently as challenges arise
  • Experienced with good computing research practices (e.g., code documentation, version control, lab notebooks), experience with repositories (e.g., GitHub) a plus.

To Apply:

To submit an application, please begin by sending a CV at the link below: