• Software Engineer

    Posting Date 1 month ago(5/18/2018 2:01 PM)
    Job ID
    Einstein/Resnick - Bronx
    Employee Classification
    Institute for Clinical and Translational Research
    Position Type
    Regular Full-Time

    Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows.


    Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH).


    Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually.


    The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve




    Our Clinical Research Informatics team is seeking a Senior Software Engineer to participate in development of state-of-the-art software to develop and implement high-quality big-data analytics infrastructure integrated with our EMR (Epic) and other delivery of care processes and operational systems. This includes developing big-data analytics infrastructure that can support automated evaluation and scoring using machine learning techniques, recommendations and decision support systems, early recognition and alerting systems, bio surveillance systems, improvements and extensions of our existing platforms for machine learning and predictive modeling, and developing internal QA and validation procedures. The team’s objective is to improve quality of care while lowering cost of care, and enhance patient outcomes, patient safety, satisfaction, and experience within Montefiore. The Senior Software Engineer will work with the Network Performance Group, Montefiore IT, and Care Management Office to ensure data driven decisions and Montefiore appropriate care management programs are consistently and uniformly delivered across the enterprise.


    Responsibilities include:

    • Develop scalable, dynamic, and enterprise software infrastructure for healthcare and population health management to support:
      • Big-data analytics (Semantic Data Lake)
      • Large-scale real-time information exchange
      • Secure clinical data management
      • Mobile health
      • Dynamic and secure data capture.
    • Develop automated and scalable quality assurance processes for detecting software anomalies, and verify the integrity of the products and data.
    • Move products through the full development process from research and validation through operational launch.
    • Work with project sponsors, management, and the technical team to formulate objectives and scope of work.
    • Partner with SMEs and technical leads to translate business requirements into technical specifications and user stories for implementation.
    • Analyze, understand, and document all data infrastructures, pipelines, and resources pertaining to the Network Performance Group's analytics.
    • Develop institutional metadata representations, ontologies, terminologies, information models, and terminology mappings.
    • Represent Montefiore in field meetings, conferences, and publications. Collaborate with teams from other organizations and take initiative to drive consensus and sound decision making in a group setting.



    • Please note the Informatics team is based at the Montefiore Yonkers office park




    • Bachelor’s degree in information science, computer science, engineering or a similar area, with 3 years of related experience.
    • Master’s degree preferred. Combination of education and comparable experience will also be considered.
    • Professional software development in JAVA + JavaScript + Spring or a comparable application development framework (e.g. struts) or environment (C#.NET)
    • Proficient in database application development (SQL),
    • Web application development, object oriented design and programing
    • Experienced and proficient in SOA architecture (SOAP, REST). For e.g.  AJAX, JSON, XML, HTML5
    • Experienced and proficient in GUI frameworks for .aspx or .jsp
    • Spring or servlet experience


    Desired experience:

    • Application development in healthcare, life sciences, or clinical research
    • Experience working with application servers like Tomcat/JBoss
    • Experience working on analytical environments like R, Knime and H2O
    • Experience working with Big data frameworks like Hadoop, Spark
    • Experience working with technologies from the Semantic Web Stack like RDF, SPARQL
    • Knowledge of common Linux commands and shell scripting
    • Understanding of data and metadata management in health care systems
    • Security and protection of private health information including encryption standards
    • Data integration and quality control in health care systems
    • Algorithm development for statistical processing or analytics in health care


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