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Metabolomics Postdoctoral Fellow Jobs (NOW HIRING)

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53.90K - $73.20K/yr

Postdoctoral Fellowship in Exposomics, Environmental Epidemiology, Environmental Medicine, Public ... Metabolomics and microbiome are also of interest. Further, these studies are part of the national ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53.90K - $73.20K/yr

This PostDoc position is available with Dr. Rosalind Wright's research group at the Icahn School of ... Experience with high dimensional molecular data such as metabolomics, mitochondriomics, Illumina ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53.90K - $73.20K/yr

This PostDoc position is available with Dr. Rosalind Wright's research group at the Icahn School of ... Experience with high dimensional molecular data such as metabolomics, mitochondriomics, Illumina ...

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Metabolomics Postdoctoral Fellow information

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$25K

$59K

$83.5K

How much do metabolomics postdoctoral fellow jobs pay per year?

As of May 28, 2026, the average yearly pay for metabolomics postdoctoral fellow in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Metabolomics Postdoctoral Fellow, and why are they important?

To thrive as a Metabolomics Postdoctoral Fellow, you need advanced expertise in biochemistry, analytical chemistry, and metabolomics, usually supported by a PhD in a relevant field. Familiarity with mass spectrometry, chromatography techniques, and bioinformatics tools such as MetaboAnalyst is highly valued. Strong problem-solving skills, scientific communication, and the ability to collaborate effectively with multidisciplinary teams set exceptional candidates apart. These skills enable rigorous experimental design, accurate data interpretation, and impactful scientific contributions in metabolomics research.

What are some of the biggest challenges Metabolomics Postdoctoral Fellows face when managing large-scale datasets?

Metabolomics Postdoctoral Fellows often encounter challenges when handling vast and complex datasets, including ensuring data quality, managing batch effects, and integrating multi-omics data. Effective data processing requires familiarity with advanced bioinformatics tools and careful experimental design to maintain reproducibility and reliability. Collaborating with statisticians, bioinformaticians, and other researchers is essential to overcome these hurdles and to interpret results accurately, which enhances the overall impact of the research.

What is a Metabolomics Postdoctoral Fellow?

A Metabolomics Postdoctoral Fellow is a researcher who has recently earned their Ph.D. and is engaged in advanced study and research in the field of metabolomics. Metabolomics is the large-scale study of small molecules, known as metabolites, within cells, biofluids, tissues, or organisms. Postdoctoral fellows in this area typically design and conduct experiments, analyze complex data sets, and collaborate with other scientists to understand metabolic pathways and their roles in health and disease. Their work often supports biomedical, pharmaceutical, or agricultural research initiatives.

What is the difference between Metabolomics Postdoctoral Fellow vs Biochemist?

AspectMetabolomics Postdoctoral FellowBiochemist
Required CredentialsPh.D. in Biochemistry, Chemistry, or related fieldBachelor's or Master's in Biochemistry, Chemistry, or related field; Ph.D. preferred for advanced roles
Work EnvironmentResearch laboratories, academic institutions, biotech companiesLaboratories, research institutions, pharmaceutical companies
Industry UsageAcademic research, postdoctoral training, specialized metabolomics projectsResearch and development, product development, quality control

The Metabolomics Postdoctoral Fellow focuses on advanced research in metabolomics, often within academic or specialized settings, while a Biochemist has a broader role in biochemical research and development. Both roles require strong laboratory skills, but the fellow typically engages in postdoctoral training with a focus on metabolomics techniques and data analysis.

More about Metabolomics Postdoctoral Fellow jobs
What cities are hiring for Metabolomics Postdoctoral Fellow jobs? Cities with the most Metabolomics Postdoctoral Fellow job openings:
What states have the most Metabolomics Postdoctoral Fellow jobs? States with the most job openings for Metabolomics Postdoctoral Fellow jobs include:
Infographic showing various Metabolomics Postdoctoral Fellow job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 100% In-person job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Fellow in Bioinformatics

Postdoctoral Fellow in Bioinformatics

University of Maryland, Baltimore

Baltimore, MD • On-site

$48.70K - $66.10K/yr

Full-time

Posted 8 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

209th of 528 rated colleges and universities


Job description

Job Description
The at the University of Maryland School of Medicine, within the is recruiting a postdoctoral fellow to join our interdisciplinary team studying the gut microbiome's role in immune tolerance development. Our lab integrates multi-omics microbiome analyses, microbial genetics, experimental models, and clinical cohorts to investigate mechanisms by which early-life gut microbial metabolism shapes host immunity.
The successful candidate will generate, analyze, and integrate multi-omics microbiome datasets, including shotgun metagenomics, 16S rRNA sequencing, single-cell transcriptomics, and proteomics/metabolomics. The overarching goal of the project is to investigate how early-life diet shapes the functional capacity of the gut microbiome and how these microbial functions are associated with the development of childhood allergic diseases. The candidate will develop machine learning-based biomarker prediction models to identify microbiome-derived signatures associated with allergy risk and immune tolerance outcomes.
Qualifications
Preferred Skills
  • Analysis of shotgun metagenomics sequencing and metabolomics data
  • Integration of single-cell RNA-seq with proteomic and metabolomic datasets
  • Application of machine learning and AI approaches to microbiome data
  • Harmonization and management of clinical metadata across cohorts
  • Integration of clinical and multi-omic datasets to uncover microbiome-host interactions
  • Strong statistical skills in Python and/or R
  • Experience with cloud computing and high-performance computing environments

Ideal Candidate Profile
We are seeking a computational biologist, biostatistician or bioinformatician with strong quantitative and programming expertise and a demonstrated interest in applying AI and machine learning approaches to complex biological systems.
What We Offer
-Access to clinical samples from well-characterized pediatric cohorts.
-Collaborative environment across CAMRI and IGS.
-Access to Maryland Genomics Resources and Trainings.
-Cutting-edge tools in multi-omics and host-microbe interactions.
To apply, please send a CV to .
The University of Maryland, Baltimore is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, or local law. If you need a reasonable accommodation for a disability, for any part of the employment process, please contact us at HRJobs@umaryland.edu and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

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