Data Analyst

NYU Langone Health • New York, NY

9h • Onsite

About The Position

NYU Grossman School of Medicine is a top-ranked medical school with a 175-year history, committed to medical education, scientific research, and direct patient care as an integral part of NYU Langone Health. The institution values equity and inclusion, striving to be a place where talented faculty, staff, and students of all identities can thrive. This Data Analyst position offers an exciting opportunity to join their team, reporting to Dr. Liat Shenhav and collaborating closely with other members of the Institute for Systems Genetics.

Requirements

• Bachelor's degree in a related field such as Computer Science, Data Science, Statistics, Mathematics etc.
• A minimum of one year of research experience with formal training in statistics and machine learning.
• Strong programming skills in R or Matlab and Python.
• Critical thinking skills and ability to translate concepts into practice.
• Strong organizational and time management skills, including ability to work independently and prioritize projects.
• Excellent verbal and written communication skills.

Nice To Haves

• Masters degree in a related field such as Computer Science, Data Science, Statistics, Mathematics etc.

Responsibilities

• Conduct statistical research by compiling, managing, analyzing, and presenting data in numerical and graphic formats.
• Collaborate with experimental biologists to integrate biomedical data for research.
• Interpret and convey results to project leaders or principal investigators.
• Summarize statistical results with graphs, tables, and charts.
• Perform data analysis using established computational pipelines to study clinical/biomedical data.
• Develop new computational methods to manage and analyze biomedical/clinical data.
• Work closely with bench scientists to analyze and interpret genomic data.
• Conduct robust data quality control and validation.
• Adapt genomic data analysis pipelines in a rapidly evolving research environment.
• Assist in designing, implementing, and executing custom pipelines for collaborative projects.
• Learn new analysis techniques and software as needed.
• Assist in preparing concise presentations of analysis results.
• Develop bioinformatics workflows and computational methods to analyze high-throughput metagenomics and other biomedical data.
• Set up analysis pipelines for biomedical data, including molecular, imaging, and electronic health records, with quality control and downstream bioinformatics analysis.
• Curate biomedical data, create databases, and develop interactive web visualizations.
• Prepare and present results, reports, and evaluations to a variety of audiences.
• Lead key data-focused projects, including development, deployment, and evaluation.
• Design and build data solutions using advanced machine learning and informatics methods.

Benefits

• Comprehensive benefits and wellness package
• Robust support system for any stage of life
• Financial security benefits
• Generous time-off program
• Employee resources groups for peer support
• Holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care
• Extensive resources and services designed to enhance your overall quality of life for you and your family

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees