1

Postdoctoral In Bayesian Statistics Jobs in Manhattan, NY

Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category ... The candidate should be proficient in using statistical packages (SPSS, STATA, SAS etc.). Preferred ...

The postdoctoral researcher will work in the Physics Department and the Center for Quantum Science ... statistics mandated by the Clery Act. Click here for a copy of this report.

Showing results 21-40

Postdoctoral In Bayesian Statistics information

See Manhattan, NY salary details

$27.6K

$65.1K

$92.2K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for postdoctoral in bayesian statistics in Manhattan, NY is $65,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $73,400.00 per year, depending on experience, location, and employer.

What is a postdoctoral position in Bayesian statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Manhattan, NY?

For Postdoctoral In Bayesian Statistics jobs in Manhattan, NY, the most frequently searched job titles are:

What cities near Manhattan, NY are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Manhattan, NY with the most Postdoctoral In Bayesian Statistics job openings:

Biostatistician - Med Faculty Open Rank

New York, NY • On-site

The City University of New York
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Medical, Retirement

Posted 5 days ago


City University of New York rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz


Job description

Biostatistician - Med Faculty Open Rank **FACULTY VACANCY ANNOUNCEMENT** The CUNY School of Medicine (CUNY MED) is the only medical school in the City University of New York system. Our innovative curriculum allows students to complete both their undergraduate Bachelor of Science (BS) and Doctor of Medicine (MD) degrees in seven years. CUNY MED graduated its first MD class in 2020. In addition, the CUNY MED offers a two-year Physician Assistant (PA) program to prepare health professionals licensed to practice medicine with physician supervision. Our mission is 1) to provide access to medical education to talented youth from historically underrepresented in backgrounds in medicine and to develop health professionals committed to practicing in under-served communities and 2) to perform innovative research in community health and biomedicine. The Department of Community Health and Social Medicine (CHASM) plays a central role in CUNY MED's mission-driven BS/MD and Physician Assistant programs through its integrated teaching and research initiatives. The department's curricular responsibilities focus on educating students in the social, economic, political, and behavioral determinants of health and disease, with particular emphasis on population health, health disparities, and health care policy. CHASM's research portfolio includes chronic disease epidemiology, health behavior, health policy, health services research, and community-based participatory research. The Biostatistic faculty member will be either an Assistant, Associate or Full Professor who will play a pivotal role in enhancing the School of Medicine's biostatistical core, complement and deepen our current academic departments bioscience strengths. The Biostatistician will be the academic subject matter expert in Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, public health and medical intervention analysis. Reporting to the Department Chair of CHASM, the Biostatistician will be responsible for but not limited to the following: + Developing and leading an extramurally funded research programs in the theory, methods, and/or applications of statistics in health-related fields. + Initiating and maintaining collaborations with community health, population health and/or clinician scientists and enhance research projects using innovative designs and methods. + Teaching undergraduate and graduate level courses and advise master's and doctoral students in the biomedical sciences; Mentoring students, trainees, and junior faculty. + Developing and sustaining an extramurally funded research programs, collaborate with other health researchers, contribute to SoM teaching and research development mission. + Participate in multidisciplinary biomedical and computational collaborations with investigators across the SoM; Conduct methodological and applied research in biostatistics + Participate in departmental, institutional, and national activities and community organizations related to biostatistics and biomedical sciences. + Provide biostatistical support for the NIH funded Research Center for Minority Institution + Collaborate and provide biostatistical support for grant applications + Perform related duties as assigned by the Department Chairperson or designee **QUALIFICATIONS** M.D. or Ph.D. in Statistics, Biostatistics, or a closely related field, as well as a record of significant achievement in profession or field of expertise. **PREFERRED:** + Experience in developing and implementing novel statistical methods, experience collaborating with health scientists, and a passion for teaching and mentoring. + An extramurally funded research program in areas of particular interest to the School of Medicine, including computational science, population health, and Artificial Intelligence (AI). + Demonstrated experience in machine learning/Artificial intelligence and Bayesian methods. + Causal inference for observational, interventional studies, and clinical trials methodology experience. + Analytical skills of electronic health records and other real-world data is a plus. + A strong record of peer-reviewed publications and extramural funding commensurate with rank. + Demonstrated excellence in collaborative research in clinical and translational science. + Experience in biostatistics teaching and mentoring. + At the **Full Professor** level, evidence of sustained scholarly leadership and national or international recognition. + At the **Associate Professor** level, candidates are expected to have a strong track record of extramurally funded research in statistical methodology and its applications. + At the **Assistant Professor l** evel, candidates are expected to demonstrate a clearly defined area of research focus with a strong publication record. + Team player with exceptional communication skills and experience working in multicultural environments. + A deep understanding of the importance of health, education, and healthcare disparities in higher education, along with experience developing models to understand their impact on outcomes **COMPENSATION** **Med Faculty Basic - Open Rank** Medical Assistant Professor (Basic) - $80,982 - $128,748 Medical Associate Professor (Basic) - $100,052 - $149,375 Medical Professor (Basic) $119,128 - $169,995 Salary commensurate with education and experience. CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development. **HOW TO APPLY** Visit www.cuny.edu, access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select "Apply Now" and provide the requested information. Candidates should provide a CV/resume and statement of scholarly interests. **CLOSING DATE** Open until filled. Review of resumes to begin on June 17, 2026. **JOB SEARCH CATEGORY** CUNY Job Posting: Faculty **EQUAL EMPLOYMENT OPPORTUNITY** CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer. Job ID: 32321 Location: CUNY School of Medicine Biostatistician - Med Faculty Open Rank United States USA New York NY New York CUNY

What City University of New York employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom