Columbia University Irving Medical Center · 6 days ago

Software Engineer

New York, NY

Full-time

Onsite

Mid Level

$87K/yr - $95K/yr

4+ years exp

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Insider Connection @Columbia University Irving Medical Center

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Responsibilities

Software and system specifications, design, implementation, and testing (60%)

Application deployment and configuration (30%)

Communicate with technical individuals at various grant sites (10%)

Querying enterprise Datawarehouse to support research activities

Qualification

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SQLEHR data structuresFHIRSMART standardsAWSCloud servicesElectronic health record dataSoftware container programmingKubernetesDockerInformation managementRelational database designPython programmingStatistical softwareRSASSPSSMatlabBig data managementQuantitative researchData analysisCommunicationProblem-solvingTeamworkIndependenceLeadershipHealth System Information SecurityClinical Decision SupportData ScienceAcademic Research

Required

Bachelor’s degree or equivalent in education and experience, plus four years of related experience.

Great communication skills.

Extensive knowledge of relational databases, SQL, and EHR data structures

Experience with FHIR and SMART standards, AWS cloud services, electronic health record data, software container programming (Kubernetes, Docker), technology, information management, relational database design and development, including programming, managing and maintaining data systems, and Experience using and maintaining systems across a variety of platforms (Windows, Linux, AWS, etc.)

Proficient with Python programming.

Related experience of statistical software, such as R, SAS or SPSS, Matlab and big data management processes. Knowledge of relational and other databases (Oracle, SQL, PL/SQ) is also required.

Prior experience in quantitative research.

Ability to work cross-functionally as part of a team, as well as an individual contributor and to think independently as well as perform tasks according to the directions of project leaders.

Must demonstrate good decision-making skills, be able to call out conflicting issues when they arise and possess knowledge of how and when to follow through on issues.

Good interpersonal skills and the ability to exercise leadership in data analysis activities as part of a research project team.