Senior Biostatistician (Hybrid OR Remote)
NYU Langone Medical Center
New York, New York 10001

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, diversity, 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 diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to, and interact with us on LinkedInGlassdoorIndeed, FacebookTwitter and Instagram.

Position Summary:

We have an exciting opportunity to join Dr. Ramos-Cejudo's team as a Senior Biostatistician.

Please note this position is open to hybrid and remote working conditions. 

The Senior Biostatistician will design and develop machine learning systems and methods for precision medicine, predictive analytics, and learning healthcare systems and will have access to the large Veterans Health Administration (VHA) EHR database, with over 26 million patients (2 trillion+ rows, 22,000+ columns of data), including large amounts of both structured and unstructured data and over 20 years of follow up.

The VHA also has large databases of genomic and imaging data. The Sr. Biostatistician will have the opportunity to execute high-impact projects with large-scale real-world healthcare data and work with cutting-edge technologies with a talented team of computer scientists, statisticians, and clinical researchers.

Job Responsibilities:

* Use advanced data analysis methods (from survival analysis to machine learning, artificial intelligence, and applied statistics) to assist in research studies and building predictive models of healthcare outcomes from the largest integrated medical records database in the United States.
* Extract, clean, and validate data in preparation for analysis, starting from raw data in a large relational database.
* Carry out exploratory analysis and data visualization and summarize analysis results.
* Collaborate with a range of researchers, including clinicians, data scientists and statisticians to design and execute analyses.
* Assist in developing improved data science and statistical methodology in relation to healthcare data.
* Assist in publishing papers on our findings, systems, and methodology.

Minimum Qualifications:

To qualify you must have a MS degree in biostatistics, computer science, mathematics, or a data science-related field, or a degree in another field such as biology with substantial data science training and/or experience.

  • 5+ years of experience in quantitative biomedical research, including bioinformatics, advanced statistics, and/or precision medicine.
  • 5+ years of professional experience in Python, R, and SQL operating systems.
  • 5+ year experience in clinical research involving electronic health records (EHR), the use of structured and unstructured data, and clinical trial design.

Preferred Qualifications:

  • Familiarity with team/project management tools such as GitHub preferred
  • Experience in research projects from conceptualization to pipeline development and full execution preferred.
  • Experience developing and applying advanced biostatistical methods preferred
  • Expertise in model selection and validation, statistical interference with high dimensional data preferred.
  • Strong publication record preferred.
  • Experience guiding other team members such as students and fellows is a plus.
  • A collaborative partner with strong interpersonal skills who thrives working independently.
  • Reliable, persistent, and passionate, committed with quality and integrity, and with the goal of increasing our understanding of human diseases and improving healthcare outcomes

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.

NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit for more information. To view the Pay Transparency Notice, please click here.

NYU Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $88,524.80 - $109,181.80 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.

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Employment/Position Type:

Full Time
Date Posted : 01/25/2023