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

Houston Methodist

$41K - $56K/yr

Our laboratory integrates molecular and cellular biology, immunology, genetics, single-cell RNA sequencing, spatial transcriptomics, and advanced disease models to investigate the mechanisms ...

Houston Methodist

$16.25 - $22.25/hr

Our laboratory integrates molecular and cellular biology, immunology, genetics, single-cell RNA sequencing, spatial transcriptomics, and advanced disease models to investigate the mechanisms ...

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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 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 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 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.

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Single Cell Rna Sequencing Phd jobs near you

Postdoctoral Associate - Cancer biology and bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 7 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 620 rated colleges and universities

Job description

Postdoctoral Associate - Cancer biology and bioinformatics
Division: Molecular and Cell Biology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
Dr. Putluri's laboratory at Baylor College of Medicine is seeking a highly motivated and talented Postdoctoral Fellow to join our multidisciplinary cancer research team. The lab is seeking a highly motivated Postdoctoral Associate with strong expertise in cancer biology or molecular biology, and additional skills in bioinformatics/data analysis, to join our multidisciplinary research team at Baylor College of Medicine. The Postdoctoral Associate will work on cutting-edge translational cancer research projects involving tumor cell signaling, metabolic reprogramming, immuno-oncology, and therapeutic target identification. The lab focuses on understanding metabolic and molecular vulnerabilities driving cancer progression, therapeutic resistance, and tumor-immune interactions. This position offers opportunities to work with cutting-edge cancer models, 3D culture systems, and translational human samples. This position offers the opportunity to work with state-of-the-art platforms, including patient-derived models (PDXs), 3D organoids/spheroids, advanced molecular assays, and multi-omics datasets.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Conducts in vitro cancer biology experiments, including 2D culture, 3D organoids, spheroids, and patient-derived models.
  • Performs CRISPR/Cas9-mediated gene knockout (KO), siRNA/shRNA-mediated knockdown (KD), and validation of engineered cell lines.
  • Conducts the multi-omics data analysis including RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data and multi-omics data integration.
  • Executes molecular and biochemical assays such as qPCR, Western blotting, ELISA, flow cytometry, and functional phenotyping.
  • Contributes to the generation and characterization of knockout (KO) mouse models, including colony maintenance, genotyping, and phenotypic analysis.
  • Performs mouse studies using immune-competent strains and immune-compromised NSG mice that includes tumor implantation, drug treatment, and immune profiling.
  • Establishes and monitors orthotopic xenograft models to study tumor growth and progression within relevant tissue microenvironments.
  • Conducts luciferase labeling of cancer cells and use bioluminescence imaging to trace tumor growth and metastasis in vivo.
  • Performs mechanistic studies examining cancer signaling pathways, cytokine biology, therapeutic resistance, and tumor metabolism.
  • Designs and executes xenograft, orthotopic, syngeneic, and PDX in vivo studies.
  • Develops and maintains 3D organoids/spheroids and support in vivo therapeutic testing.
  • Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs.
  • Prepares manuscripts, figures, and grant-related materials, and organize data for grant/paper submissions.
  • Presents research findings at internal meetings and national/international conferences.
  • Mentor's students and support collaborative projects across laboratories.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Strong coding experience using R and Python for data analysis.
  • Expertise in the biological interpretation of multi-omics datasets (RNA-seq, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data) and experience in multi-omics data integration.
  • Has the ability to develop algorithms and code for innovative multi-omics data analysis.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Nature; PD; SN
Requisition ID: 25492

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