Collaborative Statistician

Description

Position: Collaborative Statistician

Department: NYU School of Global Public Health - Biostatistics 

Supervisor: Dr. Alex Dahlen

Employment Dates: December 16, 2024 - December 15, 2025

Schedule: Full-Time / Hybrid

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

Collaborative Statisticians will provide statistical support on one or several collaborative projects within GPH and other NYU schools. This position consists of assisting with statistical consulting, designing and carrying out statistical analysis plans, and communicating results clearly in write-ups and data visualizations. In addition to regular meetings with the investigators, Collaborative Statisticians will be expected to contribute to weekly team meetings to provide updates and to give feedback to other statisticians on the team. For more information about the BC3, see our website: https://publichealth.nyu.edu/department/biostatistics/consulting-

lab.

• Collaborate with investigators on study design and analysis plans.
• Attend and participate in regular team meetings to provide updates and to give feedback to the rest of the team. These will weekly, and will be in person.
• Attend and participate in project assessment meetings and statistical consults, where investigators from across NYU and beyond present their projects and receive statistical advice.
• Work with investigators to develop study designs and analysis plans.
• Implement analyses in Stata, R, or Python.
• Produce clear write-ups of statistical methods and results. This may include creating clear and compelling data visualizations as well.
• Statisticians will be expected to learn on the job as the project demands.

Qualifications

• Eligible candidates must have a Master’s degree or equivalent degree in statistics, biostatistics, or a related field.
• Candidates must demonstrate proficiency in a range of statistical methods, such as those used to analyze clinical trials, longitudinal or multivariate data, survey responses, etc. Candidates are not expected to know everything already, but they will be expected to be able to learn new skills quickly on the job.
• 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 be able to perform statistical analyses using a statistical software such as R, Stata or Python.
• Ideal candidates will be passionate about open science, reproducibility, and scientific ethics.

Application Instructions

Please apply via Interfolio

This is a 1-year position, with options to extend subject to performance and funding availability. The exact start date is negotiable, but ideally the candidate could start before the end of the year.

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 $59,000 - $76,000. 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.

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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.

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