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Postdoc Single Cell Rna Sequencing Analysis Jobs in Washington

... single-cell context, though projects related to long-read RNA-sequencing and to foundational ... Experience with handling and analyzing large genomics datasets, as well as experience in developing ...

... exome sequencing (WGS/WES), metagenomics, metabolomics, and proteomics, as well as clinical ... labs in their analysis workflows including bulk RNA-seq (QC, DEG, GSEA), single-cell RNA-seq ...

... cell analysis using 10x Genomics instruments. * Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays. * Prepare and QC RNA and DNA samples for sequencing.

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

... cell analysis using 10x Genomics instruments. * Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays. * Prepare and QC RNA and DNA samples for sequencing.

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

... cell analysis using 10x Genomics instruments. * Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays. * Prepare and QC RNA and DNA samples for sequencing.

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)

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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 are popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Washington?

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

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

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

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

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

Postdoctoral Associate

University of Maryland

College Park, MD • On-site

$75K - $80K/yr

Full-time

Re-posted 8 days ago


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Job description

Job Description Summary
Organization's Summary Statement:
The postdoctoral research associate is responsible for developing novel computational methodology for high-throughput sequence genomics tasks, as well as for building efficient and robust implementations of these methods. The primary focus is on the development of methods for single-cell transcriptomic (RNA-seq) and ATAC-seq data, specifically in the single-cell context, though projects related to long-read RNA-sequencing and to foundational algorithmic and data structural questions is also within scope. The postdoctoral research associate leads their own project, as well as to collaborating with other members of the lab. The Patro lab has a strong commitment to open science, and to developing efficient, robust, usable and free and open-source software.
Duties include:
• Designing and developing novel computational methodologies for the processing
and analysis of high-throughput sequencing data
• Writing robust and efficient implementations of novel computational methods in a
"high-performance" programming language (Rust, C, C++, Zig) and integrating
these new tools with exisitng software developed by the lab
• Preparing, writing, and editing scientific manuscripts
• Collaborating with and co-mentoring PhD students
• Assisting in the writing and preparation of funding proposals (NSF, NIH, and
other relevant foundations or opportunities)
Minimum qualifications:
Education: PhD in Computer Science or a closely-related field
Experience: Experience in performing independent research in algorithmic genomics,
and communicating scientific results via scientific publications and presentations.
Experience with handling and analyzing large genomics datasets, as well as experience
in developing software in compiled, statically-typed, garbage-collection-free languages
(e.g. Rust, C, C++, Zig).
Other: Strong written and oral communication skills. Strong interpersonal skills.
Physical Demands: Must be capable of maintaining a stationary position for extended periods. Job requires close-up vision for computer work.
Preferences:
• Experience developing advanced computational methodology for genomics data
processing
• Experience with and knowledge of compact and succinct data structures
• Experience with and knowledge of methods for high-dimenstional statistical
inference (e.g. generative graphical models, maximum likelihood inference,
Bayesian inference, etc.)
• Knowledge of or willingness to learn the Rust programming language
• Experience with data analysis and visualization
• Familiarity with common genomics tools, formats and programs
• Experience with standard *-nix command-line tools and idioms
• Familiarity with reproducible scientific workflow systems, such as Nextflow or
Snakemake
Licenses/ Certifications: N/A
Additional Job Details
The Patro lab is part of the University of Maryland Institute for Advanced Computer Studies (UMIACS). UMIACS is a multidisciplinary computing research institute led by distinguished researchers and supported by a cutting-edge infrastructure. UMIACS pioneers computational science involving national defense, precision medicine, big data, cybersecurity, language and culture, and more.
Required Application Materials:
1. Personal statement (research vision, accomplishments and approach)
2. CV
3. Research portfolio (2-4 papers or mature pre-prints)
4. Software sample (prefferably hosted on GitHub or a similar service)
5. 2 References
Best Consideration Date: 10/27/2025
Open Until Filled: Yes
Financial Disclosure Required
No
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
CMNS-Institute for Advanced Computer Studies
Worker Sub-Type
Faculty Regular
Salary Range
$75,000 - $80,000
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 regarding disclosable background check information. 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 Notice
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