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Single Cell Rna Sequencing Phd Jobs in Washington

Axle

Bioinformatics Engineer

Rockville, MD · On-site

... RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling ... PhD in a relevant field • Experience with nf-core pipelines and community standards • ...

Axle

Data Scientist II

Rockville, MD · On-site

... seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES), metagenomics, metabolomics, and proteomics, as well as ...

Axle

Data Scientist II

Rockville, MD

... seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES), metagenomics, metabolomics, and proteomics, as well as ...

Axle

Data Scientist II

Rockville, MD · On-site

... seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP), whole genome and exome sequencing (WGS/WES), metagenomics, metabolomics, and proteomics, as well as ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

Axle

Bioinformatics Engineer

Rockville, MD

Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

Axle

Bioinformatics Engineer

Rockville, MD

Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

Umd

Postdoctoral Associate

College Park, MD · On-site

$75K - $80K/yr

... single-cell context, though projects related to long-read RNA-sequencing and to foundational ... PhD in Computer Science or a closely-related field Experience: Experience in performing independent ...

Guidehouse

Biologist

Bethesda, MD · On-site

$113K - $188K/yr

... RNA sequencing, and microbiome analysis. * Conduct cell culture and support animal models for ... PhD in Biology, Life Sciences, or related discipline. * Experience with bioinformatics and ...

Axle

Genomics Technician

Rockville, MD · On-site

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. * Perform routine maintenance, operation and ...

Axle

Sr. Staff Scientist - Genomics

Rockville, MD

$80K - $90K/yr

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. * Perform routine maintenance, operation and ...

Axle

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

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. * Perform routine maintenance, operation and ...

Howard

Research Assistant

Washington, DC · On-site

$40K - $47K/yr

... the Easy Share-seq sequencing protocol. SUPERVISORY AUTHORITY: This position does not have ... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ...

Howard University

Research Assistant

Washington, DC · On-site

$40K - $47K/yr

... the Easy Share-seq sequencing protocol. SUPERVISORY AUTHORITY: This position does not have ... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ...

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All JobsSingle Cell Rna Sequencing Phd JobsSingle Cell Rna Sequencing Phd Jobs in Washington

Single Cell Rna Sequencing Phd information

What is a single cell RNA sequencing PhD?

A Single Cell RNA Sequencing PhD is a doctoral degree focused on the study and application of single-cell RNA sequencing (scRNA-seq) technologies. This field involves analyzing the gene expression profiles of individual cells, allowing researchers to understand cellular heterogeneity and complex biological processes at a granular level. PhD students in this area typically conduct original research, develop computational methods, and advance our understanding of cell biology, disease mechanisms, and potential therapeutic targets. Graduates often pursue careers in academia, biotechnology, or pharmaceutical research.

What is the difference between Single Cell Rna Sequencing Phd vs Single Cell Data Analyst?

AspectSingle Cell Rna Sequencing PhdSingle Cell Data Analyst
Required CredentialsPhD in Biology, Genetics, or related fieldBachelor's or Master's in Data Science, Biology, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsBiotech firms, research organizations, healthcare companies
Industry UsageDesigning experiments, interpreting sequencing data, publishing researchAnalyzing sequencing datasets, creating reports, data visualization

The Single Cell Rna Sequencing Phd typically involves designing experiments and interpreting complex sequencing data, requiring advanced research skills. In contrast, a Single Cell Data Analyst focuses on analyzing datasets, generating insights, and visualizing data, often with less emphasis on experimental design. Both roles are vital in the biotech industry but differ in their focus and required expertise.

What are some common challenges faced by researchers in a single cell RNA sequencing PhD role, and how can they be addressed?

One of the main challenges in a Single Cell RNA Sequencing PhD role is managing and interpreting large, complex datasets generated from single-cell experiments. Researchers must be proficient in both wet-lab techniques and bioinformatics analysis, often requiring collaboration with computational biologists. Another challenge is ensuring sample quality and minimizing technical variability, which can significantly impact data reliability. Staying updated with rapidly evolving sequencing technologies and analytical tools is crucial, as is developing strong problem-solving skills to troubleshoot experimental or computational issues.

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

To thrive as a Single Cell RNA Sequencing PhD, you need a strong background in molecular biology, bioinformatics, and genomics, typically supported by a PhD in a relevant field. Proficiency with single-cell sequencing platforms (e.g., 10x Genomics), next-generation sequencing (NGS) technologies, and computational analysis tools like R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating within multidisciplinary teams. These skills and qualifications are vital for designing robust experiments, analyzing high-dimensional data, and translating findings into impactful biological insights.
What are popular job titles related to Single Cell Rna Sequencing Phd jobs in Washington? For Single Cell Rna Sequencing Phd jobs in Washington, the most frequently searched job titles are:
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Single Cell Rna Sequencing Phd jobs near you

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Re-posted 15 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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