Project Manager I/Data Analysis- Endocrine Research

Job Description

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal. 


Roles & Responsibilities:
  • Assist Principal Investigator and Research staff with queries, statistical analyses, reports and technical difficulties related to data retrieval
  • Work with the research staff on all aspects of ongoing research studies.
  • Implement best practices in data management to ensure the integrity of the data, the quality of data processes and deliver analyzable or analyzed data to a variety of internal and external clients of the affiliated practice
  • Maintain data integrity and completes data analysis as necessary
  • Complete data capture, data extraction and analysis
  • Develop, maintain or implement procedures for data entry, data cleaning, documentation and other administrative tasks
  • Document, implement, maintain or recommend operating methods to improve processing, distribution, data flow, collection, database editing procedures
  • Use modeling techniques and tools in analyzing and specifying data structure
  • Identify and recommend solutions to data management issues
  • Maintain knowledge of the current regulations and technologies related to data management
  • Write and prepare manuscripts and other materials for internal and external audiences
  • Assists in the activities related to clinical research studies.
  • Assists in preparing grant applications, IRB/GCO for submission and filings.
  • Maintains source documents and subject files in accordance with hospital procedures.  Ensures accurate and complete compilation of subject data through chart reviews.
  • Help to build and perpetuate a practice environment and culture of collaboration, respect, learning, flexibility and fun among all team members
  • Perform other related duties
Requirements:
  • Bachelor’s degree or equivalent education/work experience.  Master’s degree in relevant field of study preferred
  • General Skills:
  • Excellent written and oral communication skills
  • Exceptional attention to detail and accuracy
  • Excellent conceptualization, design and analytical skills
  • 3 years of analytical experience including report development and database management.
  • Advanced knowledge of database applications and programming.  Experience with statistical analysis programs, e.g. SAS, preferred. 

Strength Through Diversity

The Mount Sinai Health System believes that diversity 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 medicine together.
 
We work hard to acquire and retain the best people, and to create a welcoming, nurturing work environment where you can develop professionally. We share the belief that all employees, regardless of job title or expertise, can make 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 hospital campuses, including Mount Sinai Beth Israel, Mount Sinai Beth Israel 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. 

EOE Minorities/Women/Disabled/Veterans

 

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