• Research Fellow-Data Scientist

    Posting Date 1 month ago(11/13/2018 5:47 PM)
    Job ID
    2018-11256
    Campus
    Einstein/Resnick - Bronx
    Employee Classification
    Research Fellows
    Department
    Institute for Clinical and Translational Research
    Position Type
    Regular Full-Time
  • ABOUT US

    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.

     

     

    The Albert Einstein College Of Medicine (New York) Center for Health Data Innovations (CHDI) is seeking a post-doctoral candidate to collaborate with faculty doing research and development work for clinical care, outcomes improvement, patient satisfaction, and population health.

     

    We are seeking someone with a doctoral level degree and advanced training and/or experience in a discipline related to advanced analytics and data science. Ideally, the candidate will have extensive experience working with digital health or health care data.

    POSITION RESPONSIBILITIES

    Your work in the Center for Health Data Innovations will include active participation in experimental modeling, development, validation, and implementation of advanced analytics and big-data solutions for healthcare and life sciences. It is expected that you will actively participate in publication and dissemination of our findings, stewardship for documentation and protection of our intellectual property, and will participate in educational and training activities at Albert Einstein College of Medicine targeting our student and investigator communities, with a focus on projects directed by Montefiore-Einstein Cancer Center and Radiation Oncology. You are expected to work closely and in collaboration with the engineering and data science team at CHDI following current and future administrative policies, management, and standard procedures for application development, deployment, and handling of protected health information, and project specific guidelines and assignments. During your postdoctoral appointment, you can expect that I will provide necessary mentorship, directions, technical and professional guidance and support and resources, access to the data and other necessary information technology or clinical and operational systems, and the professional environment vital to your success and career development.

    QUALIFICATIONS

    To be eligible for this post doc position:

     

    PhD Required in one of the following disciplines:

    • Computer Sciences, Mathematics, Statistics/Biostatistics or another highly relevant analytic field (e.g., econometrics, systems science)
    • Past/ Current Area of Methods/Focus (one or more):
      • Data mining, Advanced Analytics
    • Applied machine learning methods (ensemble learners, deep learning, reinforcement learning, etc )
    • Predictive/Prescriptive modeling

    Technical Skills:

    • Advanced statistical programming (R, Python)
    • Hands on experience working with big-data analytic solutions (Examples- SPARK, GraphX, etc)
    • Hands on experience working with software development and scripting languages (Java, Python, Ruby, etc)
    • Familiarity with the Semantic Web (RDF/OWL/SPARQL) is a huge plus.

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