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Postdoctoral In Bayesian Statistics Jobs in Washington

Umd

Postdoctoral Associate

College Park, MD · On-site

$50K - $176K/yr

Expertise in transcriptome and metabolome of plant hormones biosynthesis and signaling pathways is ... Performing statistical analysis, including selecting appropriate analysis procedure, setting up ...

Ipsos

Statistician

Washington, DC

$100K - $120K/yr

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

Ipsos

Statistician

Washington, DC · On-site

$100K - $120K/yr

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

Ipsos

Statistician

Washington, DC · On-site

$100K - $120K/yr

Masters or PhD in statistics, biostatistics, data science, computer science, or a relevant highly ... Experience with Bayesian modeling and / or supporting the design and implementation of complex ...

Meta

Competitive Intelligence Research

Washington, DC

$177K/yr

Proven experience with statistical analysis including causal inference (e.g., randomized control trials, quasi-experimentation such as synthetic control, diff-in-diff, meta-analyses), and/or bayesian ...

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Postdoctoral In Bayesian Statistics information

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 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 the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

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.
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Postdoctoral In Bayesian Statistics jobs near you

Postdoctoral Associate

Umd

College Park, MD • On-site

$50K - $176K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description SummaryOrganization's Summary Statement: The Farcuh Lab housed within the Department of Plant Science and Landscape Architecture at the University of Maryland, College Park has an immediate opening for a highly motivated candidate to fill a Postdoctoral Associate position with focus on understanding how preharvest and postharvest hormonal treatments impact apple fruit quality-related pathways, as well as development of physiological disorders. While the position is focused on apples, the work might include other fruit trees. The position requires a self-driven individual with strong plant science laboratory experience. The ideal candidate will have experience in integrating multidisciplinary approaches such as physiology, molecular biology/transcriptomics, biochemistry and metabolomics/ analytical chemistry. Expertise in transcriptome and metabolome of plant hormones biosynthesis and signaling pathways is highly desired.
Duties and Responsibilities
1.Assisting faculty researchers and other collaborators, or acting independently, in planning and designing research experiments, establishing priorities and recommending timelines and costs.
2.Developing and performing sampling, storage and extraction procedures for targeted and untargeted metabolic profiling (including hormones) of fruit tissue, and subsequent analyses.
3.Conducting fruit transcriptomics (RNA-seq) and targeted gene expression analysis (qRT-PCR).
4.Developing, performing, and/or monitoring sampling, storage and extraction procedures for biochemical analyses of fruit tissue (protein extraction and quantification, and enzymatic assays).
5.Operation and maintenance of specialized scientific equipment (GC, GC-MS, HPLC, LC-MS, etc).
6.Conduct measurements of fruit quality physicochemical analyses.
7.Performing statistical analysis, including selecting appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data, designing and writing programs to perform analysis, and producing written reports on the results of the analysis and interpretation.
8.Liaison with other UMD Departments, outside collaborators and others to ensure project success.
9.Preparing and publishing peer-reviewed journal articles, present at scientific meetings, seminars, workshops, and assist with the coordination of data for extension/outreach materials.
10.Supervising and training graduate assistants, student employees and/or staff.
11.Engaging in fieldwork and writing of technical publications and reports to stakeholders, participating in field days, and additional extension events.
12.Opportunities to develop grantsmanship skills will be provided.
Qualifications
1.Ph.D. in plant biology, plant science, plant biochemistry, molecular biology, food science, or another related field of study.
2.Expertise in molecular biology/transcriptomics, biochemistry, metabolomics (plant hormones highly desired), fruit physiology.
3.Strong data processing and statistical analysis skills, including well-developed experience with R, Phyton and interdisciplinary data integration.
4.Demonstrated ability to write and publish papers.
5.Willingness to collaborate and demonstrated ability to communicate effectively across disciplines.
6.Excellent oral and written communication skills as evidenced by peer-reviewed publications, extension work, and conference presentations.
7.Demonstrated excellent research capabilities required to carry out innovative/insightful research
8.Ability to work independently, as well as in a team, to perform multidisciplinary projects and have critical thinking and problem-solving skills.
9.Hold a US driver's license and be able to independently state vehicles.
Physical Demands: Ability to wear laboratory protective equipment. Ability to work in uncertain weather conditions. Ability to lift and carry 25lbs.Additional Job Details

Required Application Materials: Cover Letter, CV/Resume, 3 References

Best Consideration Date: July 11, 2026

Posting Close Date: July 15, 2026

Open Until Filled: Yes

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentAGNR-Plant Science & Landscape ArchitectureWorker Sub-Type Faculty RegularSalary Range$50,299.72 - $176,206.72
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination NoticeResources

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