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Postdoc Single Cell Rna Sequencing Analysis Jobs in Washington

Axle

Bioinformatics Engineer

Rockville, MD · On-site

... RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation) • Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation) * Working knowledge of Google Cloud Platform services (Compute Engine ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation) * Working knowledge of Google Cloud Platform services (Compute Engine ...

Axle

Bioinformatics Engineer

Rockville, MD

Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation) * Working knowledge of Google Cloud Platform services (Compute Engine ...

Umd

Postdoctoral Associate

College Park, MD

$75K - $80K/yr

... 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 ...

Axle

Data Scientist II

Rockville, MD

... 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 ...

Axle

Data Scientist II

Rockville, MD

... 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 ...

Axle

Data Scientist II

Rockville, MD · On-site

... 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 ...

Axle

Genomics Technician

Rockville, MD

... 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.

Axle

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.

Axle

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.

Guidehouse

Biologist

Bethesda, MD · On-site

$113K - $188K/yr

Perform laboratory techniques including flow cytometry, cell sorting, DNA/RNA isolation, gene expression analysis, RNA sequencing, and microbiome analysis. * Conduct cell culture and support animal ...

Guidehouse

Biologist

Bethesda, MD · On-site

$113K - $188K/yr

Perform laboratory techniques including flow cytometry, cell sorting, DNA/RNA isolation, gene expression analysis, RNA sequencing, and microbiome analysis. * Conduct cell culture and support animal ...

Howard

Research Assistant

Washington, DC

$40K - $47K/yr

... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ... seq sequencing protocol. Conducting computational analysis of published and internal ...

Howard University

Research Assistant

Washington, DC · On-site

$40K - $47K/yr

... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ... sequencing protocol. • Conducting computational analysis of published and internal ...

Umd

Post Doctoral Associate

College Park, MD

$55K - $67K/yr

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 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 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 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 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:
Postdoc Single Cell Rna Sequencing Analysis jobs near you
Bioinformatics Engineer

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Posted 5 days ago

Job description

Job Summary:
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics workflows for high-throughput sequencing analysis.
Responsibilities:
• Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
• Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
• Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
• Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
• Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
• Implement best practices for workflow versioning, containerization, testing, and documentation
• Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
• Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate
Qualifications:
Required:
• Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)
• 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment
• Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts
• Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)
• Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)
• Proficiency in Python and/or R for scripting, data manipulation, and tool development
• Experience with containerization technologies (Docker, Singularity)
• Familiarity with version control systems (Git) and CI/CD practices
• Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)
Preferred:
• PhD in a relevant field
• Experience with nf-core pipelines and community standards
• Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)
• Experience optimizing cloud costs and resource utilization for large-scale genomics workloads
• Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)
• Experience in pharmaceutical, biotech, or regulated research environments
• Familiarity with FAIR data principles and metadata standards
Company:
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions. Founded in 2002, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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