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Single Cell Rna Sequencing Phd Jobs in Arizona (NOW HIRING)

Caris Life Sciences

Research Associate II

Tempe, AZ · On-site

... assays, cell culture, cell growth and viability assays, cytotoxicity assays, and ... RNA/DNA extractions, assays for nucleic acid quantification and QC, PCR and real time PCR, Next ...

Caris Life Sciences

Research Associate II

Tempe, AZ · On-site

... assays, cell culture, cell growth and viability assays, cytotoxicity assays, and ... RNA/DNA extractions, assays for nucleic acid quantification and QC, PCR and real time PCR, Next ...

Mayo Clinic

Hematopathologist

Phoenix, AZ

... sequencing (NGS) and PCR for the evaluation of oncologic diseases, chromosome analysis, and FISH ... Qualifications Qualified candidates should have an MD/DO and/or PhD and must be either ABPath board ...

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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.
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Single Cell Rna Sequencing Phd jobs near you
Infographic showing various Single Cell Rna Sequencing Phd job openings in Arizona as of August 2026, with employment types broken down into 1% Locum Tenens, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Postdoctoral Research Associate, Cellular and Molecular Medicine

University of Arizona

Tucson, AZ • On-site

Other

Re-posted 16 days ago

University Of Arizona rating

7.2

Company rating: 7.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

382nd of 617 rated colleges and universities

Job description

The laboratory combines human endothelial cell culture andperturbation systems with genomic discovery tools to dissect how geneticvariation at CAD-associated loci operates through the vessel wall.

Activeresearch areas include:

  • eQTL and splicing QTL (sQTL) mapping in human aortic and microvascular endothelial cells under physiological flow conditions.
  • Single-cell RNA sequencing and chromatin accessibility profiling across genetically diverse donor populations.
  • Colocalization of endothelial molecular QTLs with GWAS signals for CAD, blood pressure, and related vascular traits.
  • Integration with population-scale biobanks including UK Biobank, MVP, and All of Us.
  • Functional characterization of candidate effector genes emerging from colocalization, including surface proteins and splicing regulators operating through the hemodynamic flow-regulated transcriptional program.

Primary Job Duties Include:

  • Design and execute experiments using primary human endothelial cells hemodynamicshear stress conditions.
  • Prepare and QC sequencing libraries including bulk RNA-seq, small RNA-seq, ATAC-seq, and single-cell libraries.
  • Perform genome-scale quantiative trait locus (QTL) mapping analyses and genetic colocalization with genome wide association study (GWAS) summary statistics.
  • Analyze single-cell and bulk genomics datasets using standard and custom bioinformatics pipelines.
  • Contribute to grant writing, manuscript preparation, and presentations at national conferences.
  • Mentor and support graduate students and other members of the laboratory.

Knowledge, Skills & Abilities:

  • Ability operating shear stress devices (cone-and-plate and parallel-plate systems) in a laboratory setting.
  • Proficiency in sequencing library preparation, including bulk RNA-seq, small RNA-seq, ATAC-seq, and single-cell sequencing protocols (10x Genomics and sci-RNA-seq3).
  • Knowledge of genetic colocalization methods using GWAS and molecular QTL summary statistics.
  • Working knowledge of large-scale biobank resources, particularly the All of Us Research Program and phenome-wide association study (PheWAS) frameworks.   
  • Biological knowledge of vascular cell types, endothelial function, and the pathobiology of atherosclerosis. 

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