Data Analyst

NYU Langone Health • New York, NY

1d • $70,482 - $75,429

About The Position

NYU Grossman School of Medicine is seeking a Data Analyst to store, analyze, and communicate clinical-based and genomic data. The role supports a research team by managing data from public and private sources, conducting statistical and bioinformatics analyses, improving data quality and workflows, and helping researchers and analysts access and interpret datasets. The analyst also contributes to publications, reports, presentations, and software tools.

Requirements

• Bachelor's degree in public health, health care administration, or a similar field.
• In-depth knowledge of best practices in data management, research methods, epidemiologic study design, quality performance measurement, and quality improvement.
• Proven experience with statistical software such as SAS, Stata, and/or R.
• Proven ability to design complex data management and analysis projects and work with professionals with varied skills and backgrounds.
• Experience in DNA and RNA sequencing library construction.
• Excellent written and oral communication skills, including technical documentation and data summarization.
• Ability to work well with other team members.
• Familiarity with genomic data, including RNA-seq, epigenetic, and genotype data, and with clinical information, diagnostic coding, and clinical databases.
• Experience with R and Python programming, statistical analyses, and next-generation sequencing tools such as STAR, BWA, and GATK.
• Knowledge of biostatistics; epidemiologic principles and methods, including study design, statistical analysis, and causal inference; current public health research and trends; computer processing methods for generating, organizing, and displaying statistical and research data; and standard English grammar, spelling, and usage.
• Ability to apply mathematical formulas, make calculations, gather and organize information, analyze data, and report findings.
• Problem-solving, planning, and organizational skills; personal motivation.
• Ability to communicate effectively with all levels of the organization.

Nice To Haves

• Master's degree in a pertinent field such as bioinformatics, biomedical engineering, computer science, clinical informatics, information management, biostatistics, epidemiology, or public health.
• Experience with Hadoop and/or SQL.

Responsibilities

• Create descriptive data summaries, including visualizations and written explanations of findings for varied audiences.
• Contribute to developing publications, reports, and presentations.
• Provide technical assistance to analysts and researchers who need to access and analyze datasets.
• Create a data storage system for the research team.
• Design and conduct analyses using data acquired from various sources.
• Plan and implement data quality assurance and checking, and work with investigators and others to resolve identified issues.
• Work with staff and others to facilitate automation of recurring data acquisition, management, analysis, and reporting.
• Understand and follow data security requirements.
• Create and maintain data dictionaries and other metadata resources for analysts and researchers.
• Work with the team to process and clean datasets from public and private sources.
• Acquire data from publicly available sources and store it with the team on a central resource repository.
• Perform custom bioinformatics and statistical analyses involving genomic, transcriptomic, and methylation data.
• Assist with developing software tools and write code for specific analyses.

Benefits

• Comprehensive benefits and wellness package.
• Financial security benefits.
• Generous time-off program.
• Employee resource groups for peer support.
• Employee wellness program covering physical, mental, nutritional, sleep, social, financial, and preventive-care well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level