Healthcare Data Analyst II: Research & Reporting

Socket.dev; New York (NY); On-site; USD 70,000 - 105,000; Full time

Job summary

Mount Sinai Health System is seeking a Data Analyst II to oversee data integrity and enhance the value of data. You will develop and execute reports and collaborate with Center faculty and staff on research projects, including data cleaning, linking, analysis, and preparation of analyses for manuscripts and grants.

The role emphasizes adherence to data security and IRB requirements, developing analytic reports for clinical and administrative staff, and contributing to new modeling approaches and

Qualifications

• Bachelor's degree in computer science, statistics and/or related field required; Masters preferred.
• 3+ years of analytics experience including report development and database management.

Responsibilities

• Collaborate with peers across the institution.
• Support data cleaning, linkage, and integration and data capture.
• Develop and maintain data storage, cleaning, and analyses with compliance to data security and IRB requirements.
• Analyze data and prepare data for presentation according to study design; develop tables and figures and assist in manuscript/grant writing.
• Interpret and communicate results clearly and address issues in data and analytic results.
• Assist in writing and editing manuscripts for publication and grants.

Skills

Analytic skills

Verbal communication

Interpersonal skills

Writing skills

Education

Bachelor's degree in computer science or statistics

Master's degree in related field

Job description

Mount Sinai Health System is seeking a Data Analyst II to oversee data integrity and enhance the value of data. You will develop and execute reports and collaborate with Center faculty and staff on research projects, including data cleaning, linking, analysis, and preparation of analyses for manuscripts and grants.

The role emphasizes adherence to data security and IRB requirements, developing analytic reports for clinical and administrative staff, and contributing to new modeling approaches and