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Phd In Statistics Jobs in New York (NOW HIRING)

LanceSoft Inc

Biostatistician

Woodcliff Lake, NJ · On-site

Must have a MS in Biostatistics/Statistics with at least 5 years of experience or a PhD in Biostatistics/ Statistics with at least 3 years of experience in the pharmaceutical, CRO or biotech industry.

Amazon

Senior Analyst, Audible People & Places

Newark, NJ · On-site

$92K - $121K/yr

... PhD) in Statistics, Business Analytics, Information Systems, or related field - 6+ years of experience in a business analyst, data analyst, or statistical analyst role - Experience with AWS ...

Altimmune

Director, Biostatistics

Morristown, NJ · On-site

PhD in Statistics, Biostatistics, or related field with 7+ years of clinical trial statistics experience in biotech/pharma; or MS with 10+ years of equivalent industry Strong knowledge of statistical ...

Altimmune

Director, Biostatistics

Morristown, NJ · On-site +1

PhD in Statistics, Biostatistics, or related field with 7+ years of clinical trial statistics experience in biotech/pharma; or MS with 10+ years of equivalent industry * Strong knowledge of ...

Altimmune

Director, Biostatistics

Morristown, NJ · On-site

PhD in Statistics, Biostatistics, or related field with 7+ years of clinical trial statistics experience in biotech/pharma; or MS with 10+ years of equivalent industry * Strong knowledge of ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.
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Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Research Scientist (Prof Haidt)

New York University

New York, NY • On-site

$128K - $160K/yr

Full-time

Re-posted 9 days ago

New York University rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

95th of 616 rated colleges and universities

Job description

Description
Jonathan Haidt and Zach Rausch are seeking a Quantitative Senior Research Scientist to lead analyses of large datasets, conduct systematic reviews and meta-analysis, and ensure the methodological rigor of our research outputs. This role is central to the lab's mission of clarifying the causal impacts of digital technology on youth mental health, education, and well-being.
The ideal candidate is a strong quantitative researcher with experience in psychology, sociology, public health, or related fields. They will serve as the lab's statistical lead, providing quality assurance, reanalyzing datasets, and contributing to both academic and public-facing outputs. This is a full time role, housed at NYU. Relocation to New York is preferred, but hybrid work arrangement is an option for exceptional candidates.
Key Responsibilities
  1. Statistical Leadership & QA
    • Serve as the lab's primary statistical authority for internal and collaborative projects.
    • Provide quality assurance on analyses run by other team members and external partners.
    • Advise on research design, variable selection, and causal inference strategies.
  2. Data Analysis
    • Reanalyze existing data to test competing claims in the literature.
    • Conduct original analyses that address key questions about youth well-being and digital technology.
  3. Meta-Analyses & Review Papers
    • Lead or collaborate on systematic reviews and meta-analyses of studies on technology, education, and mental health.
    • Work closely with external collaborators to ensure rigor and consistency.
    • Summarize findings for both academic papers and Substack essays.
  4. Study Development
    • Design and refine lab-led research studies (e.g., surveys, quasi-experiments, longitudinal analyses).
    • Translate movement goals into rigorous study protocols.
    • Support IRB submissions and methodological documentation when needed.
  5. Research Methods & Survey Design
    • Lead or collaborate on lab-led surveys
    • Support the TAG Movement team as appropriate, supporting our work to bridge between research and action.
  6. Writing & Co-Authorship
    • Lead research and writing of academic manuscripts, white papers, and research briefs.
    • Edit and improve methods and results sections from all papers written in the lab
    • Collaborate with lab leadership (Haidt & Rausch) to translate quantitative findings into public-facing outputs.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $128,125-$160,925. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Qualifications
Required
  • PhD in statistics, psychology, data science, epidemiology, or related field (or equivalent experience).
  • Strong quantitative and analytical skills, with experience working with large datasets.
  • Proficiency in data visualization tools (R, Python, SPSS, SAS, or equivalent).
  • Excellent writing and communication skills, with ability to translate research for broad audiences.
  • Strong organizational skills; comfort managing multiple projects simultaneously.

Preferred
  • Experience with international datasets (OECD, WHO, Gallup, PISA, etc.).
  • Background in survey research, statistical methods, or policy analysis.
  • Familiarity with youth mental health, education, or technology research.
  • Prior experience coordinating multi-institution collaborations or research consortia.

Application Instructions
Please submit a CV, cover letter, and two references via Interfolio.

What New York University employees say

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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