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Postdoc Single Cell Rna Sequencing Analysis Jobs in Arizona

Dawar Consulting

Bioinformatics Scientist

Tucson, AZ · On-site

$62 - $90/hr

Hands-on experience with single-cell RNA sequencing (scRNA-seq) analysis and interpretation. * Experience with 10x Genomics analysis workflows . * Proficiency in Python and/or R programming.

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BEPC INC

Be Seen First

Bioinformatics Scientist - 30485

Tucson, AZ · On-site

$45 - $65/hr

... single-cell RNA sequencing (scRNA-seq), multiomics, and computational biology . In this role, you ... You will help design sequencing experiments, develop and maintain analytical pipelines ...

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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.

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Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Arizona as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Research Associate, Department of Child Health (College of Medicine - Phoenix)

UNIVERSITY OF ARIZONA

Phoenix, AZ • On-site

$50 - $70/hr

Other

Re-posted 11 days ago

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

338th of 628 rated colleges and universities

Job description

Postdoctoral Research Associate, Department of Child Health (College of Medicine - Phoenix)

Position Highlights

The Department of Child Health at the University of Arizona College of Medicine-Phoenix is looking for a Postdoctoral Research Associate to join the Pulmonary Hypertension laboratory of Dr. Laszlo Farkas. The lab studies the molecular and immunological mechanisms underlying pulmonary arterial hypertension (PAH), focusing on the role of endosomal dysfunction and its protein interaction partners. Using mouse and rat models and human cell-based systems, the research investigates RAB7 deficiency via the RNA binding protein CSDE1 and its impact on pulmonary vascular dysfunction, inflammatory signaling, and disease progression. The candidate will be mentored toward independent research and training to become a principal investigator. Enthusiastic applicants with a PhD, MD, or a combined PhD/MD degree in cardiovascular and pulmonary biology with experience in molecular and cellular biology techniques are encouraged.

This position is eligible for visa sponsorship.

Duties & Responsibilities
  • Perform independent research experiments under the direction of the Principal Investigator.
  • Design, implement, and manage independent and collaborative research projects focused on molecular and immunological mechanisms of pulmonary hypertension.
  • Conduct in vivo studies, including mouse handling, chronic hypoxia/SU5416 exposure protocols, physiological assessments, and tissue harvesting.
  • Perform in vitro experiments using endothelial, smooth muscle cell, fibroblast, and immune cell models, including gene knockdown, proliferation (BrdU), migration, and angiogenesis assays.
  • Analyze and interpret experimental data, including high-throughput datasets such as bulk and single-cell RNA sequencing, proteomics (proximity-based biotinylation, secretomics).
  • Investigate inflammatory and immune signaling pathways, including interferon-regulated gene expression and immune cell dynamics.
  • Maintain mouse colonies.
  • Analyze research data and statistics.
  • Laboratory record keeping and general laboratory activities.
  • Participate in the acquisition of research funding by initiating and writing grant proposals.
  • Participate or author articles in peer-reviewed journals, books, or chapter publications.
  • Participate or present at meetings and research conferences.
  • May co-author and may co-present results with principal investigators at meetings or conferences.
Laboratory Management Responsibilities
  • Maintain and service laboratory equipment.
  • Laboratory purchases and budgeting.
  • Manage biosafety requirements.
  • Organize laboratory and implement procedures.
  • Coordinate with building/facilities management, gas delivery, and other key research infrastructure.
Knowledge, Skills, and Abilities
  • Knowledge of coordinating experiments, completing analysis, statistics, and interpretation; strong team player.
  • Ability to communicate in a clear, concise manner orally and in writing.
  • Ability to participate at scientific conferences and present findings.
  • Knowledge of grant writing and manuscript preparation.
  • Demonstrated ability to independently develop reports and manuscripts and present findings in tabular, oral, written, and/or graphic formats.
Minimum Qualifications
  • PhD, MD or PhD/MD in Biological Sciences, Medicine, or relevant field of study.
Preferred Qualifications
  • Experience with AI models.
  • Experience with bioinformatic methods including omics analysis, flow cytometry, cell sorting, cell culture, and confocal microscopy.
  • Experience working with mouse colonies and mouse and rat models of disease, including in vivo assessment and analysis of cardiopulmonary physiology.
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