Senior Collaborative Statistician

Description

Position: Senior Collaborative Statistician

Department: NYU School of Global Public Health - Biostatistics 

Supervisor: Dr. Alex Dahlen

Employment Dates: January 6, 2025 - December 19, 2025

Schedule: Full-Time / Hybrid

The School of Global Public Health (GPH) and the Biostatistical Consultation and Collaboration Core (BC3) is recruiting a PhD-level Senior Collaborative Statistician. The position is full time (40 hours/week) and in-person at least 3 days a week.

• Provide statistical support on collaborative projects within GPH and other NYU schools.
• Assist with statistical consulting across various projects.
• Design and execute statistical analysis plans.
• Communicate results clearly through written reports and data visualizations.
• Take ownership of statistical work on projects with minimal supervision.
• Participate in regular meetings with investigators to discuss project progress.
• Contribute to weekly team meetings, providing updates and feedback to fellow statisticians.
• Other duties as assigned

 For more information about the BC3, see our website: https://publichealth.nyu.edu/department/biostatistics/consulting-lab 

Qualifications

• Eligible candidates must have a Ph.D. or equivalent degree in statistics, biostatistics, or a related field.
• Candidates must be comfortable applying a range of statistical modeling techniques, and are expected to learn what they don’t know on the job. They should have practical experience implementing at least one of following: survival data analysis methods; analysis of longitudinal and repeated measures data; methods for handling missing data; causal inference techniques; analysis of adaptive clinical trials; use of linear and non-linear models; use of non-parametric and parametric statistical methods; etc.
• Excellent oral and written communication skills are required, as the position involves independent communication and collaboration with physicians and scientists, typically leading to publications in medical and scientific journals.
• Candidates must have expertise performing statistical analyses using a statistical software such as R or Python.
• Ideal candidates will be passionate about open science, reproducibility, and scientific ethics.

Application Instructions

Apply Via Interfolio

This position is funded through the end of August 2025, with options to extend subject to performance and funding availability; The exact start date is flexible, and applications will be considered on a rolling basis.

Feel free to email with any questions: alex.dahlen@nyu.edu

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $73,000 - $95,000. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.

Sustainability Statement 

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability