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Postdoc Single Cell Rna Sequencing Analysis Jobs in Baltimore, MD

Johns Hopkins University

Postdoctoral Fellow

Baltimore, MD · On-site

$48K - $66K/yr

Design and execute experiments/analyses; maintain rigorous documentation and data stewardship ... Familiarity with induced pluripotent stem cells (iPSCs), cardiovascular physiology, and single-cell ...

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Postdoc Single Cell Rna Sequencing Analysis information

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How much do postdoc single cell rna sequencing analysis jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for postdoc single cell rna sequencing analysis in Baltimore, MD is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $24.62 per hour, depending on experience, location, and employer.

What does a postdoc in single cell RNA sequencing analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.

What are the key skills and qualifications needed to thrive as a postdoc in single cell RNA sequencing analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

What are some common challenges faced by postdocs working in single cell RNA sequencing analysis, and how can they be addressed?

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

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For Postdoc Single Cell Rna Sequencing Analysis jobs in Baltimore, MD, the most frequently searched job titles are:

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Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Baltimore, MD as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,122 per year, or $22.2 per hour.

Post-Doctoral Position - 2 photon imaging cell transplantation

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 11 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

260th of 619 rated colleges and universities

Job description

Job Description
A full-time postdoctoral fellow position is immediately available in the laboratory of Dr. Yajie Liang at the University of Maryland School of Medicine, Center for Stem Cell Biology & Regenerative Medicine and Department of Diagnostic Radiology and Nuclear Medicine, for ongoing laboratory research on neural stem cell labeling, transplantation, and 2-photon Imaging in the mouse model of ischemic stroke. A major focus of the laboratory is to apply the long-term intravital single-cell tracking (LIST) under 2-photon microscopy to study the dynamics of grafted neural stem cells (human iPSC-derived neural progenitors) and interactions with host environment through genetically encoded probes. We will employ multi-disciplinary approaches including molecular biology, cell culture, morphological and functional 2P imaging and high-field MRI in live animals to study donor-host interactions and seek measures to improve the survival, migration and integration of transplanted stem cells. We expect the fellow to be highly motivated, independent and innovative. The applicant can expect to receive career mentoring from faculty of the Program of Image Guided Neurointerventions (PIGN) in developing a research program, writing research proposals, and to participate in career development activities. This position provides outstanding opportunities for continued scientific development and for contributing to pioneering research with high translational impact. The scientific environment at University of Maryland, Baltimore and surrounding institutions such as Johns Hopkins University, University of Maryland School of Engineering at college park offers ample opportunity for productive collaborations. More information about the PI could be found here:
Qualifications
(i). Education and lab experience: applicants are required to have a Ph.D. and/or M.D. and prior wet lab experience in techniques of cell and molecular biology. Prior experience with mouse disease models, neurobiology, tissue immunohistochemistry and brain physiology are highly valued. 2-photon imaging experience is not required but preferred. (ii). Writing: The candidate should also exhibit excellent English written and oral communication skills and will be expected to publish in peer-refereed journals, present results at national/international scientific conferences, apply for external funding opportunities, and participate in the preparation of grant applications by the team. (iii). Motivation, communication and integrity. The candidate should be evidently self-driven, demonstrate independent research productivity, possess excellent interpersonal skills and high caliber professional conduct, and be able to interface with clinicians, research associates, students, and faculty. Salary will be commensurate with experience.
How to apply:
If interested, please send an email to Dr. Yajie Liang( ) with the subject line "Postdoc - 2-photon imaging Cell Transplantation". We prefer that the application package be submitted as a single pdf document, containing: 1) a cover letter/statement of interest; 2) a full CV; 3) name and contacts details of 3 references; 4) list of laboratory methods mastered.
The University of Maryland is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national original, disability, protected veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports all employees.

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