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Full Time Statistics Postdoc Jobs (NOW HIRING)

The Pennsylvania State University

Xue Zhang is recruiting a full-time Postdoctoral Scholar to use an intersectional and ... Conduct independent data management, statistical analyses, and interpretation of findings using ...

The Pennsylvania State University

BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

The Pennsylvania State University

BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

The Pennsylvania State University

POSITION SPECIFICS The Department of Statistics at The Pennsylvania State University, invites ... BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ...

The Pennsylvania State University

BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

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Full Time Statistics Postdoc information

What is a full time statistics postdoc?

Full Time Statistics Postdocs are early-career researchers who have recently earned a Ph.D. in statistics or a closely related field and are employed in a full-time, temporary position at a university, research institute, or industry lab. Their primary focus is conducting advanced research, often collaborating with faculty members or research teams, and publishing their findings in academic journals. These positions are designed to help postdocs further develop their research skills, expand their academic network, and prepare for permanent roles in academia or industry.

What are the typical research and collaboration expectations for a full time statistics postdoc?

As a Full Time Statistics Postdoc, you'll typically engage in both independent and collaborative research projects, often working alongside faculty members and fellow postdocs. You may be expected to contribute to ongoing grant-funded studies, co-author publications, and present findings at conferences. Collaboration with interdisciplinary teams—including scientists, data analysts, and students—is common, fostering a dynamic learning environment. Balancing your own research interests with project goals is a common challenge, but it also provides valuable experience that can help you build a strong academic or industry career.

What are the key skills and qualifications needed to thrive as a full time statistics postdoc, and why are they important?

A Full Time Statistics Postdoc requires advanced knowledge of statistical theory, research methodologies, and a Ph.D. in statistics or a related field. Experience with statistical programming languages such as R, Python, or SAS, as well as familiarity with data analysis software and reproducible research tools, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish standout candidates. These competencies are crucial for conducting high-level research, collaborating with interdisciplinary teams, and disseminating complex findings to diverse audiences.

What is the difference between Full Time Statistics Postdoc vs Data Scientist?

AspectFull Time Statistics PostdocData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often prefers experience
Work EnvironmentAcademic or research institutions, universitiesCorporate, tech companies, or startups
Employer & Industry UsageResearch-focused roles in academia or governmentIndustry-focused roles in technology, finance, healthcare

Full Time Statistics Postdocs primarily work in academic or research settings, focusing on advanced statistical research and publications. Data Scientists work in industry, applying statistical and machine learning techniques to solve business problems. While both roles require strong statistical skills, Postdocs emphasize research and theory, whereas Data Scientists focus on practical data analysis and product development.

More about Full Time Statistics Postdoc jobs

What are the most commonly searched types of Statistics Postdoc jobs?

The most popular types of Statistics Postdoc jobs are:

What states have the most Full Time Statistics Postdoc jobs?

States with the most job openings for Full Time Statistics Postdoc jobs include:

What are popular job titles related to Full Time Statistics Postdoc jobs?

For Full Time Statistics Postdoc jobs, the most frequently searched job titles are:

Full Time Statistics Postdoc jobs near you
Infographic showing various Full Time Statistics Postdoc job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 80% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Postdoctoral Associate (Full-Time)

New York, NY • On-site

New York University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about New York Universityexternal

$62K - $65K/yr

Full-time

Re-posted 23 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

Job description

Description
The NYU Program of Nutrition at Steinhardt is seeking a Postdoctoral Associate to support Dr. Andrea Glenn's research program in nutrition and cardiometabolic health. This position will provide comprehensive involvement in two funded research projects: (1) a community-based Food Is Medicine intervention designed to improve diet quality and blood pressure among adults with hypertension and (2) a metabolomics project to identify a plasma metabolomic signature of almond intake using samples from a dose-response randomized controlled feeding trial. The Postdoctoral Associate will contribute to all aspects of the research, including study coordination, protocol implementation, data management, data analysis, student supervision, manuscript preparation, and dissemination of findings. The Postdoctoral Associate will devote 12 person-months of effort to the projects, including Data Management and Sharing activities, data curation, and documentation.
Project Overview
This position will support two complementary projects within Dr. Glenn's research program.
The first project is a pilot study that will test a 6-week, culturally tailored culinary nutrition program to improve diet quality and blood pressure among adults with hypertension using rapid-cycle implementation, produce prescriptions, and behavioral strategies. The project includes collection of dietary, blood pressure, anthropometric, engagement, and implementation data, with an emphasis on feasibility, sustainability, and future scale-up.
The second project examines the plasma metabolomic signature of almond intake using previously collected samples from a dose-response randomized controlled feeding trial in adults with hyperlipidemia. This study will use metabolomics to identify an almond-specific biomarker signature, examine dose-response relationships, and relate metabolomic findings to cardiometabolic health.
Together, these projects offer a unique opportunity for a postdoctoral fellow interested in dietary interventions, food as medicine, implementation science, clinical and community nutrition, metabolomics, and cardiometabolic disease prevention.
Specific Responsibilities:
  1. Support the PI in all aspects of study design, protocol development, implementation, and coordination across both projects.
  2. Assist with data collection and study operations for the hypertension community intervention, including coordination with community partners and support for in-person assessments and program delivery.
  3. Conduct quantitative and qualitative data management and analysis, including dietary, clinical, behavioral, implementation, and metabolomics data.
  4. Support metabolomics-related activities, including dataset preparation, statistical modeling, interpretation of metabolomic signatures, and integration with cardiometabolic outcomes.
  5. Assist with Data Management and Sharing activities, including data curation, documentation, quality control, and compliance with sponsor and institutional requirements.
  6. Lead and contribute to manuscript writing, conference abstracts, grant proposals, reports, and other dissemination products.
  7. Facilitate communication and collaboration among investigators, research staff, trainees, and community partners.
  8. Support supervision and mentoring of research assistants and student trainees involved in the projects.
  9. Participate in regular team meetings, workshops, and other project-related activities.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $62,500-$65,000. 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.
Per NYU's remote-work policy, this position is expected to be hybrid, with most days being in-person and the option to work-from-home on occasion.
This position will be responsible for supervising up to 5 undergraduate and/or graduate students during their appointment.
Qualifications
  1. PhD in Nutritional Studies, Nutritional Epidemiology, Public Health, or a related field.
  2. Strong background in research methods, including intervention studies and/or clinical trials.
  3. Experience with statistical analysis of complex datasets; experience in R preferred.
  4. Interest in or experience with metabolomics, dietary biomarkers, or cardiometabolic research preferred.
  5. Experience with community-engaged research, implementation science, or behavioral interventions preferred.
  6. Demonstrated record of scientific writing, including manuscripts and conference presentations.
  7. Strong organizational, interpersonal, and collaborative skills.
  8. Willingness to travel locally within New York City for project activities related to community-based research.

Working Conditions
This position will involve a mix of in-person and office-based work. Meetings and project activities will be conducted at NYU Washington Square and with community partners in Brooklyn. Responsibilities related to the hypertension project will include in-person meetings, participants assessments, and community-based program activities. The metabolomics project will primarily involve data management, analysis, interpretation, and writing. Public transportation costs related to project activities will be reimbursed in accordance with university policy.
Time Frame
One-year position with the possibility of renewal depending on performance, funding, and project needs.
Application Instructions
The position will begin September 1, 2026. Qualified candidates should submit:
  • a one-page cover letter describing career goals, research interests, and relevant qualifications;
  • a current CV;
  • one writing sample (peer-reviewed publication, dissertation chapter, or grant application); and
  • names and contact information for three references.

Applications should be submitted via Interfolio.

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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.

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Colleges, universities, and professional schools

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Headquarters location

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Year founded

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