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NYU School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health , the School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu , and interact with us on Facebook , Twitter and Instagram .
We have an exciting opportunity to join our team as a Sr. Analyst I-Info Management.
In this role, the successful candidate EPPIC-Net is a network that will include a Data Coordinating Center (DCC), Clinical Coordinating Center (CCC), and ten Specialized Clinical Centers (SCCs). The DCC will work with Federal government partners to conduct high-quality efficient clinical trials to develop non-addictive treatments for pain as part of the Helping to End Addiction Long-term (HEAL) initiative. The DCC will provide a range of coordinating services for this NIH-funded network, including statistical and data management; collection of clinical, biomarker and imaging data; and establishment of repositories for biospecimens and biomedical images.
The Data Curation and Data Standards Programmer will work closely with the Principal Investigator, Data Management Leadership, and key stakeholders to support the DCCs data curation and dataset archival needs. In addition, s/he will help develop, document, and implement the EPPIC-Net meta-data standards and data dictionary, including the ontogenies and data formats developed by the DCC. The successful candidate will have experience in retrieving and assembling clinical data from multiple sources, creating derived datasets, and implementing data specifications to transform study data into CDISC-compliant datasets. S/he will have experience in employing SAS or similar programming languages for data transformation and analysis. Specifically, s/he will be skilled in developing programs to import complex external data from a variety of sources into SAS or export SAS output files to other formats. In addition, s/he will have experience in reports programming, output validation, and project documentation. Lastly, s/he will possess working knowledge of accepted data standards such as Clinical Data Interchange Standards Consortium (CDISC) Clinical Data Acquisition Standards Harmonization (CDASH) and Study Data Tabulation Model (SDTM).
To qualify you must have a Typically requires 4 or more years of experience and BA/BS degree or equivalent.
In-depth understanding of data collection, data flow management, data quality, data extraction and data standards (knowledge of CDISC standards for CDASH, SDTM and ADaM a plus); experience with object-oriented programming languages (SAS programming language, R, SQL or other languages/tools as required, SAS Certification desired), including the creation of data entry and query screens/processes and data quality checks
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
NYU School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU School of Medicine's EEO policies, please click here . Please click here to view the Federal \"EEO is the law\" poster or visit for more information. To view the Pay Transparency Notice, please click here .
NYU School of Medicine
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