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Postdoc Single Cell Rna Sequencing Analysis Jobs in Maryland

  • Medical

  • Life

... sequencing, sample prep/ library prep for genomic analysis, PCR, qPCR and digital PCR. * Experience selling technologies for single cell sequencing, transcriptomics or proteogenomics highly desired.

  • Medical

  • Life

... sequencing, sample prep/ library prep for genomic analysis, PCR, qPCR and digital PCR. * Experience selling technologies for single cell sequencing, transcriptomics or proteogenomics highly desired.

Senior Scientist

Baltimore, MD · On-site

$90K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Support the planning, execution, troubleshooting, and analysis of single-cell and spatial ... Hands-on background supporting single-cell sequencing and spatial transcriptomics workflows.

Senior Scientist

Baltimore, MD · On-site

$90K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Support the planning, execution, troubleshooting, and analysis of single-cell and spatial ... Hands-on background supporting single-cell sequencing and spatial transcriptomics workflows.

Laboratory Technician / Scientist / Manager

Rockville, MD · On-site

$47K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... single-cell , and proteomics analysis. We provide advanced research and clinical sequencing ... DNA/RNA extraction and quantification * Gel electrophoresis, PCR/qPCR, and NGS library preparation

Three Postdoctoral Associates positions are available at the Department of Veterinary Medicine ... Expertise in the biological interpretation of multi-omics datasets (e.g, single-cell RNA-seq)

Three Postdoctoral Associates positions are available at the Department of Veterinary Medicine ... Expertise in the biological interpretation of multi-omics datasets (e.g, single-cell RNA-seq)

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 ...

Showing results 21-40

Postdoc Single Cell Rna Sequencing Analysis information

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.

What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Maryland look for?

The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Maryland are:

What cities in Maryland are hiring for Postdoc Single Cell Rna Sequencing Analysis jobs?

Cities in Maryland with the most Postdoc Single Cell Rna Sequencing Analysis job openings:

POSTDOCTORAL POSITION IN THE CANCER EPIGENETICS GROUP

University of Maryland, Baltimore

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 9 days ago


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Job description

Job Description
AVAILABLE A POSTDOCTORAL POSITION IN THE CANCER EPIGENETICS GROUP AT THE UNIVERSITY OF MARYLAND, SCHOOL OF MEDICINE, INSTITUTE FOR GENOME SCIENCES.
The cancer epigenetics group of Dr. Gaykalova at the Institute for Genome Sciences (IGS, ) seeks applicants for a postdoctoral research position. IGS at the University of Maryland, School of Medicine is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS on the genomics field has been substantial, with more than 2000 publications during the past 26 years, which have been cited more than 300,000 times, making IGS one of the most productive institution in the region.
The Gaykalova Lab comprises the innovative, creative, and systematic studies of head and neck cancer and looking for a new understanding of cancer biology to improve disease detection and treatment. Thus, the main research within the laboratory is focused around epigenetic regulation of gene expression. In particular, we investigate the role of enhancers in transcription control, and how changes in enhancer activity affects cell physiology and cancer transformation. We adopt innovative sequencing technologies (RNA-Seq, ChIP-Seq, ATAC-Seq, and more) to the bulk and single-cell samples from patient samples or their pre-clinical models (human and animal cell cultures, primary culture and patient-derived xenografts), and state-of-the-art functional technologies (CRISPR, siRNA, shRNA, and other gene manipulation techniques). Our work is published in top-tier journals - Cancer Research, Clinical Cancer Research, Nature Communications, PNAS, NAR, and others.
The Gaykalova Lab is looking for an enthusiastic, highly-motivated postdoc, interested in cancer epigenetics. In particular, a qualified candidate will lead the project focused on the elucidating of the chromatin structure abnormalities of head and neck cancer patient samples to find changes in both 2D and 3D chromatin structure, and how these changes affect gene expression, and how the chromatin structure drives the mutational landscape in cancer samples. Such analysis will be coupled with modern functional studies and incorporate epigenetic treatment to modulate both tumor cells and the cells of its microenvironment using diverse pre-clinical models.
Qualifications
The ideal applicant is expected to:
• possess an expertise of cellular and molecular biology techniques and to understand computational approaches including genome sequencing and data analysi
• lead the independent project(s), designs, develops, executes, and implements scientific experiments, adopt novel technologies to the sample analysis, produce and visualize data for presentation at scientific meetings and for publication
• write research and review papers, and to contribute the peer-review process and grant writing
• have strong and effective inter-personal and communication skills and ability to work effectively both as a part of the group and individually
• hold a doctoral degree in cellular and molecular biology, cancer biology, genetics, bioengineering, or other related fields.
The successful candidate will benefit from a community of interactive research labs, bioinformatics experts and a variety of sequencing, and computational resources available in a world-class institute dedicated to genomic, basic, and translational research to improve human health at the University of Maryland, School of Medicine.
To apply, please send a CV, a statement of research interests (1 page maximum), and contact information for three references to Dr. Daria Gaykalova: .
Consideration of candidates will begin upon receipt of applications and will continue until the position is filled.
If accommodations are needed for a disability, please contact Staffing & Career Services at 410-706-2606, Monday - Friday, 8:30am - 4:30pm EST. Maryland Relay can be accessed by dialing 711 (in-state) or 1-800-735-2258.
UMB is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.

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