Montefiore→
Senior Health Informatics Specialist
ExperiencedOn-siteFull-time
Location
Yonkers, NY
Salary
$104k–$104k/yr
Experience
5+ years
Posted
1 day ago
Job Description
Senior Health Informatics Specialist
City/State:
,
Department:
PIQ - Data Analytics
Work Days:
MON-FRI
Scheduled Hours:
8:30 AM-5 PM
Scheduled Daily Hours:
7.5 HOURS
NOTICE OF FILING OF APPLICATION UNDER THE U.S. DEPARTMENT OF LABOR’S PERMANENT LABOR CERTIFICATION PROGRAM
An application concerning the employment of one or more alien workers for the following permanent position will be filed with the Department of Labor. This Notice of Filing will be posted for 10 consecutive business days, ending between 30 and 180 days before filing the permanent labor certification application.
POSITION TITLE: Senior Health Informatics Specialist
POSITION DUTIES: Report on standard structured data using SQL for decision making purposes. Build
custom applications in ZOHO to automate MSHP processes, manage data & create workflows. Identify opportunities
for quality improvement through data analysis. Apply data mining, data modeling, natural language processing &
machine learning to classify and extract info from large unstructured datasets using Python. Analyze & interpret
extracted healthcare data related to our patient population, chronic illnesses, preventative care, reproductive health &
other clinical priorities to improve health outcomes for our patients using descriptive, inferential statistics to predict,
measure outcomes and consequences of design using SPSS. Conduct code reviews of junior analysts & provide
constructive feedback using platforms like Gitea. Create data collection instruments in REDCap for research projects
& transform the raw data collected using advanced analytics via Python & REST API webservices. Create interactive
visualizations & dynamic data reports using the SAP WebIntelligence visualization software for clinical/operational
measures.
RATE OF PAY: Annual Salary $104,000.00
The employer will pay or exceed the prevailing wage, as determined by the U.S. Department of Labor.
LOCATION OF EMPLOYMENT: 200 Corporate Boulevard South, Yonkers, NY 10701
JOB REQUIREMENTS: BS in Computer Science or Health Informatics or data-related field. 5 yrs exp. as
Clinical Data Analyst or Health Informatics Specialist in hospital setting. Knowledge in writing or developing
complex SQL queries. Knowledge of Python. EPIC certifications in Cogito, Clinical Data Model, Clarity Data
Model & Caboodle Data Model.
Any person interested in the position should Email CV to lroldan@montefiore.org, Attn: Leticia Roldan, HR, Montefiore Medical Center, List in your email, Applying for Senior Health Informatics Specialist, Yonkers, NY.
This notice is provided in compliance with 20 CFR 656.10(d). Any person may provide documentary evidence bearing on the application to the Certifying Officer of the U.S. Department of Labor holding jurisdiction over the location of the proposed employment.
U.S. Department of Labor
Employment and Training Administration
Office of Foreign Labor Certification
200 Constitution Avenue NW, Room N–5311
Washington, DC 20210
This notice is being provided to workers in the place of intended employment by the following means:
Posting a clearly visible and unobstructed notice, for at least ten (10) consecutive business days, in conspicuous location(s) in the workplace, where the employer’s U.S. workers can readily read the posted notice, including but not limited to locations in the immediate vicinity of the wage and hour notices.
AND
Publishing the notice in any and all in-house media, whether electronic or printed, in accordance with the normal procedures used for the recruitment of similar positions in the employer’s organization.
Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.