The Department of Biomedical Informatics is seeking to hire a Research Associate with experience in health data/computational to support ongoing research trials on the efficacy of tools to support decision making around breast cancer prevention. The Research Associate will support the team in Dr. Rita Kukafka's lab.
The candidate will work with novel decision support tools that connect with electronic health record data to inform breast cancer risk models. S/he will support the team to understand, analyze, and make recommendations on how to best use these data. The candidate will also assist with ongoing research projects by generating reports, managing and querying integrated research databases, analyzing data, writing up results and papers for publication, and updating research and lab websites.
1) Analyzing data sets from electronic health records.
2) Learning and applying FHIR and HL7 standards.
3) Using a scripting language to clean and parse through datasets.
4) Building and managing SQL databases.
5) Updating research and lab websites.
6) Writing up results for publication and research papers.
7) Presenting results to the research team.
8) Participating in team meetings.
Requires a bachelor's degree or equivalent in computer science, biomedical informatics, public health, information science, data sciences, plus two years of related experience; Experience with health data and understanding of clinical/public health research preferred.
Basic knowledge of a scripting language such as python or ruby. Some programming experience in SQL, R, Python, C#, unix/linux. Strong writing and communication skills. Ability and penchant for learning quickly. Experience with NET core framework a plus.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Internal Number: 510830
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