Full Job Description
Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
The Clinical Research Coordinator/Analyst for epidemiologic studies of environmental exposures and human health will work as a member of the Administrative Core, Data Science Resource and Statistical Resource team of the Human Health Exposure Analysis Resource (HHEAR) Data Center, the individual will be an integral team member providing analytic support
Roles & Responsibilities:
Work with the Translation and Engagement Group leader to: Perform descriptive analyses on data files generated by the public repository for quality control reviews
Assist with the creation of workshops, video tutorials and analytic resource documents on the use of the HHEAR public repository
Conduct literature reviews on select topics to aid in the expansion of the HHEAR ontology
Helping the Data Center to expand and maintain the HHEAR Ontology—a common vocabulary for use in the HHEAR program
Mapping of variables from CHEAR /HHEAR projects data dictionaries into terms consistent with the HHEAR Ontology and connect to best-in-class existing vocabularies
Facilitating the development of methods for comparing similar variables from different data dictionaries, starting with very basic mappings of equivalent terms and moving into more sophisticated analyses of relationships among variables
Perform many of the QC processes throughout the HHEAR process including QC/QA of laboratory data
Summarizing results including writing text for papers, grants, and reports
Collaborates with statistical programmers that support clinical projects to identify potential data problems from analytic queries and to take appropriate action to guide the resolution process
Performing biostatistical analyses using SAS and/or R to perform data analysis
Maintaining files and records
Performs other related duties
Education: Master’s degree in biostatistics, epidemiology or related field
Experience: 1-2 years prior research experience
Experience working with ontologies and semantic data dictionaries
Demonstrated knowledge of statistical research principles, methods, procedures and standards
Experience working with epidemiologic data. 1+years of biostatistics or epidemiology or related experience in clinical research preferred
Demonstrated completion of a data analytic project ( e.g., master’s thesis) would also be acceptable
Proficiency with SAS and/or R programming required
Ability to communicate effectively, both orally and in writing required
Strength Through Diversity
The Mount Sinai Health System believes that diversity and inclusion is a driver for excellence. We share a common devotion to delivering exceptional patient care. Yet we’re as diverse as the city we call home- culturally, ethically, in outlook and lifestyle. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education and advancement as we revolutionize healthcare delivery together.
We work hard to recruit and retain the best people, and to create a welcoming, nurturing work environment where you have the opportunity and support to develop professionally. We share the belief that all employees, regardless of job title or expertise, have an impact on quality patient care.
Explore more about this opportunity and how you can help us write a new chapter in our story!
Who We Are
Over 38,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.
Formed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke’s, and New York Eye and Ear Infirmary of Mount Sinai.
The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.