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Postdoc Single Cell Rna Sequencing Analysis Jobs in Virginia

D. in virology, cell biology or related fields. - PhD must be awarded no more than four years prior ... RNA virus and/or organoid culture systems such as iPSC-based organoids development. Pay Band ...

Responsibilities also include data analysis, report and manuscript preparation. Required ... cell culture and in vitro viral techniques (infections, CCIF). Experience working with norovirus ...

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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 Virginia? For Postdoc Single Cell Rna Sequencing Analysis jobs in Virginia, the most frequently searched job titles are:
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Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Virginia as of June 2026, with employment types broken down into 4% Locum Tenens, 3% Full Time, 88% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Postdoctoral Research Associate, Department of Surgery

Postdoctoral Research Associate, Department of Surgery

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 8 days ago


University Of Virginia rating

7.8

Company rating: 7.8 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

196th of 539 rated colleges and universities


Job description

The Brayman Lab in the Department of Surgery at the University of Virginia is seeking a Postdoctoral Research Associate to perform and assist with studies investigating the underlying mechanisms of type 1 diabetes and recurrence of diabetes in various murine models of diabetes. The position will also support human pancreatic islet isolations in the GMP islet isolation facility.
Research responsibilities include working with mice and performing/assisting with in vitro and in vivo experiments related to ongoing studies, including:
  • Working with murine models of diabetes, including mouse islet isolation and transplantation
  • Surgical procedures
  • Isolating islets
  • Measuring mouse blood glucose levels
  • Collection of mouse tissue, serum, and blood, including collection of mouse tissue and blood for proteomic studies
  • Assistance with collection and entry of data in electronic media
  • Supporting daily lab activities, maintenance, and general laboratory upkeep
  • Ordering/purchasing materials and supplies, including purchasing through the procurement system
  • Other duties as assigned

The ideal candidate is an enthusiastic team-oriented individual with a willingness to learn, collaborate, and take on new challenges. Candidates must be able to:
  • Perform routine laboratory data analysis and research procedures
  • Independently prepare solutions and reagents
  • Perform or learn to work with animal models (including surgical techniques; training provided if necessary)
  • Work diligently with strong attention to detail
  • Analyze and organize work procedures; plan and execute tasks/experiments; interpret and report findings, writing skills
  • Work a flexible schedule when required
  • Train in and comply with BSL-2 procedures
  • Demonstrate reproducibility and strong critical thinking skills

Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.
Minimum Qualifications
PhD or MD in Biology, Chemistry, Cell Biology, Molecular Biology, Biochemistry, Biomedical Engineering, or a related field
Preferred Qualifications
  • Experience working actively in a research laboratory; experience in standard cell biology techniques and murine work
  • Flow cytometry and CyTOF
  • Protein purification (including immunoglobulins such as IgM) and chromatography
  • Experience with Akta go FPLC system
  • Proteomics
  • Experience with mass spectroscopy (LC-MS), glycan preparation, data analysis
  • Immunoassays, including ELISAs
  • Electrophoresis and Western blot
  • PCR, RT-PCR
  • DNA and RNA extractions for NGS, RNAseq/ scRNAseq/ cfRNAseq
  • Tissue culture / in vitro cell culture
  • Histology analysis and immunostaining of tissue sections to back up imaging mass cytometry
  • Immunohistochemistry, Immunofluorescence, Immunocryohistochemistry.
  • Stem cells and organoids
  • Imaging mass cytometry
  • Confocal
  • Experience in R and Python, with additional experience in downstream pipeline analysis and additional expertise in statistical and data analysis software

Physical Demands
This job involves bench work and working in the human islet isolation facility. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary will be commensurate with education and experience.
This is an exempt-level, benefited position. Learn more about UVA benefits .
This is a restricted position, which is dependent on funding and is contingent upon funding availability. This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.
This position is based in Charlottesville, VA, and must be performed fully on-site.
To learn more about UVA and the Charlottesville area, visit UVA Life and Embark CVA .
Application review will begin afterApril 27, 2026.
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
This position will not consider candidates who require immigration sponsorship now or in the future.
How to Apply
Please apply online , by searching for requisition number R0082619. Complete an application with the following documents:
  • Resume
  • Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
For questions about the application process, please contact Jessica Russo, Senior Recruiter, sxv9zv@virginia.edu.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

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Year founded

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