Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
Data Science Analyst l - 2295064
The Statistical Analyst Programmer will be an integral member of a fast-paced, interdisciplinary team on statistical analysis of large scale data. The Statistical Analyst Programmer works at the Mount Sinai Cardiovascular Institute with research faculty, fellows, project managers, and statisticians to provide comprehensive data management / analysis support for a variety of projects and personnel. Typical team projects include studies related to quality measurement and clinical trials.
Roles & Responsibilities:
1. Analyzes data requests using information technology, enrollment, claims, pharmacy, clinical, contract, medical management, financial, administrative and other corporate data from both modeled and disparate internal and external sources.
a. Works with departmental staff to identify requirements for reporting.
b. Identifies necessary data, data sources and methodologies.
c. Collects, organizes, integrates, analyzes and interprets data.
d. Leverages advanced statistical analysis methods to create insightful recommendations and conclusions that may be communicated to the stakeholder.
e. Identifies and addresses expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Works to improve data quality where possible within created analytical models. Feeds data quality issues back to IT or identified data stewards to facilitate creation of high quality metrics.
f. Develops and may present reports, analyses and findings to senior management and others as scheduled or requested.
2. Designs analytical datasets and maintaining the integrity of the databases, including merging of multiple data sets and data manipulation to perform statistical analysis.
3. Provides statistical analyses for multiple projects including multiple logistic and linear regression, and longitudinal analysis.
4. Gives guidance to, and collaborates with faculties and statisticians on analytical objectives.
5. Other duties as assigned.
Bachelors Degree or Bachelors of Science Degree in Biostatistics, Statistics, Epidemiology, Public Health, Applied Mathematics, Computer Science, or closely related field required; Master’s degree preferred.
1-3 years of related working experience required
Statistical programming experience in SAS 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 promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation.