Data Analyst

NYU Langone Health

Posted about 11 hours ago

Full Time

New York, New York

In Person

Smart Summary

The Data Analyst will conduct statistical research, manage biomedical data, and collaborate with experimental biologists to integrate and interpret genomic findings. They will also develop computational methods and pipelines to analyze high-throughput data and present results to project leaders.

We are seeking a Data Analyst with a Bachelor's degree in a related field like Computer Science or Data Science, and at least one year of research experience. Strong programming skills in R, Matlab, or Python are essential, along with critical thinking and excellent communication abilities. Experience with statistics and machine learning is also required.

Must Have Skills for ATS

Data analysis

Statistical research

Python

R

Matlab

Machine learning

Bioinformatics

Genomic data analysis

Data quality control

Computational pipelines

Database management

Data visualization

Critical thinking

Communication

Time management

Job Description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. 
 For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor,Indeed,Facebook,Twitter, YouTube and Instagram. 

Position Summary:


We have an exciting opportunity to join our team as a Data Analyst.

The Data Analyst will report to Dr. Liat Shenhav, and will also work closely with other members of the Institute for Systems Genetics. 

Job 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.

Minimum Qualifications:


To qualify you must have a 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.

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

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.

At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. 
 
Know Your Rights: Workplace discrimination is illegal

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $79,500.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here

NYU Langone Health

NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient, Inc., has ranked NYU Langone No. 1 out of 118 comprehensive academic medical centers across the nation for four years in a row, and U.S. News & World Report recently ranked four of its clinical specialties No. 1 in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across seven inpatient locations, its Perlmutter Cancer Center, and more than 320 outpatient locations in the New York area and Florida. The system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise. For more information, go to nyulangone.org and interact with us on LinkedIn, Glassdoor, and Indeed. More: NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history since 1841. With more than 75 divisions of specialty care including comprehensive inpatient and outpatient programs for every stage of life, a multifaceted Research and Academic Center and the NYU Grossman Long Island School of Medicine focused on primary care, NYU Langone Hospital-Long Island joined NYU Langone Health as of August 1, 2019. At NYU Langone Hospitals, NYU Grossman School of Medicine, NYU Grossman Long Island School of Medicine and NYU Langone Health (collectively referred to as "NYU Langone"), we work collectively to achieve our mission: To care. To teach. To discover. We celebrate the inclusive excellence of the people that make us a world-class institution in patient care, education and science ("tripartite missions"). We strive to be a place where our exceptionally talented faculty, staff and students can thrive.

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