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Weekend Machine Learning Postdoc Jobs in Baltimore, MD

Johns Hopkins University

Postdoctoral Fellow

Baltimore, MD · On-site

$48K - $66K/yr

Machine learning / artificial intelligence (using imaging or 'omics data) Responsibilities: * Lead ... Postdoctoral fellows receive comprehensive benefits; see JHU Postdoctoral Fellow Benefits Overview ...

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Weekend Machine Learning Postdoc information

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are popular job titles related to Weekend Machine Learning Postdoc jobs in Baltimore, MD?

For Weekend Machine Learning Postdoc jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Weekend Machine Learning Postdoc jobs in Baltimore, MD look for?

The top searched job categories for Weekend Machine Learning Postdoc jobs in Baltimore, MD are:

Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Postdoctoral Fellow in Bioinformatics

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 2 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

262nd of 621 rated colleges and universities

Job description

The Translational Microbiome & Immune Tolerance Laboratory at the University of Maryland School of Medicine, Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute for Genome Sciences (IGS) 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. 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 tomozcam@som.umaryland.edu. 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. Job: *Postdoctoral Fellows Organization: *School of Medicine - Centers/Programs/ORCs Title: Postdoctoral Fellow in Bioinformatics Location: null Requisition ID: 2600003U

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