The School of Nursing at Columbia University is seeking a talented and highly motivated Data Manger with a background in health informatics or related discipline. Reporting to a Principal Investigator, the Data Manager will be involved in studies of clinical decision support to enhance patient care, including care coordination and transitions.
Specific responsibilities include:
Implementing statistical methods and other approaches to extract insights from real world clinical data;
Evaluating clinical decision support tools integrated into clinical practice;
Applying natural language processing applications to extract risk factors from clinical data;
Preparing presentations on behalf of the team utilizing a high level of data visualization skills;
Performing other related responsibilities and projects as assigned.
This is a grant funded position and employment is contingent upon continued funding. This role is expected to end three years from the start date, with a possibility of extension.
Requires a bachelor's degree or equivalent in education and experience, plus four (4) years of related experience.
Must have a strong foundation in machine learning, data science and/or clinical decision support.
Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and/or Keras required.
Ability to present and visualize outputs to multidisciplinary audience.
Experience with natural language processing or audio processing.
Programming skills with proficiency in R and/or Python.
PhD strongly preferred.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Internal Number: 505732
About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.