Data Analyst II, Division Of Gastroenterology (Research)

Mount Sinai Medical Center New York , NY 10007

Posted 2 months ago

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal.

The Data Analyst II leads and performs activities related to database management, maintenance of data integrity and security, and basic statistical analyses. The IBD Research Group and the integrated System for IBD daTa Exchange (iSITE) at Mount Sinai is seeking a highly motivated and skilled Data Analyst to join their data analytics team. The position will play a key role with data integration and analytics for their cutting edge research. This position will lead a variety of projects and gain exposure to many productive areas of research, including clinical and translational, genomic, transcriptomic, proteomic, and metabolomic research.

The Data Analyst II facilitates and enhances the value of datasets for faculty researchers and other analysts through a range of duties and responsibilities. Such duties include cleaning, creating, and linking datasets large and/or complex data sets.

The Mount Sinai IBD Research Group is one of the international leaders in IBD investigation with a longstanding tradition of major contributions to the field, and the IBD research is supported by one of the leading IBD clinical centers in the world. This position has growth potential for the individual to take on more independence in data analysis and supervision of other research staff.

Roles & Responsibilities:

  • Translates, merges, cleans, and maps data in large and/or complex data sets

  • Develop, maintain, implement, and document operating procedures for collection, cleaning, processing, editing, linking, distribution, and flow of data

  • Design and write custom applications to ensure databases meet requirements throughout data entry, management, and reporting

  • Identifies, develops, and documents data standardization, data enrichment operations, and data validations

  • Recognizes recurring issues and analyzes causes in order to generate improvement plans and provides tools/techniques to measure success

  • Maintains knowledge of the current regulations and technologies related to data management and Implements best practices in data management to ensure the integrity of data and quality of data processes

  • Deliver analyzable or analyzed data to internal and external stakeholders

  • Assist faculty and staff with queries, basic statistical analyses, reports and technical difficulties related to data retrieval

  • Trains staff with varying degrees of knowledge to effectively use the database system

  • Assist with primary data collection if requested

  • Interface and coordinate with basic science and translational science collaborators and core facilities for tracking and quality control for bio-sample collections

  • May access data in the Data Warehouse and other electronic health care system-linked databases, as required

  • Ability to work independently and to work closely with leadership, supervisors and staff

  • Uses modeling techniques and tools in analyzing and specifying data structure in large and/or complex data sets

  • Provide quarterly updates on overall enrollment in established and prospectively enrolling studies

  • May assist writing and preparing manuscripts, grants and other materials for internal and external audiences

  • Performs other related duties

Requirements:

  • Master's degree in public health, epidemiology, or in a social science with a heavy emphasis on quantitative data analysis Or Bachelor's degree in computer science, statistics and/or related field with 3 years of experience

  • Experience: 3 to 4 years of experience using R (preferred) and python working with large and complicated data sets (e.g., data manipulation, data analysis, or data cleaning), preferably in a

medical or healthcare setting

  • Experience working with and manipulating a wide range of large biological data sets, including

clinical, genomic, transcriptomic, proteomic, and metabolomic data

  • Demonstrated proficiency with data analysis, visualization, and cleaning using a statistical software package (R, Python)

  • Working knowledge of Ruby

  • Demonstrated proficiency working with SQL data bases and coding in SQL

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.

EOE Minorities/Women/Disabled/Veterans


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Data Analyst II, Division Of Gastroenterology (Research)

Mount Sinai Medical Center