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Immunology and Computational Biology● OpenPostdocPreview

Postdoctoral Research Associate in Systems Immunology

Join the Woodfolk Laboratory at the University of Virginia to investigate human immune responses using high-dimensional profiling and computational biology.

Best for:Best for computational biologists and immunologists with expertise in high-dimensional flow cytometry, single-cell transcriptomics, and systems-level data analysis.

University of Virginia · Charlottesville, United States · R2 · Recognised researcher
More professors at University of Virginia
Systems ImmunologyComputational BiologyTranscriptomicsFlow CytometryHuman Immune Responses
This is a postdoc position — not a PhD studentship.
Deadline
—
Funding
Salaried
Salary will be commensurate with education and experience.
Start date
flexible
Full-time
Location
Charlottesville
United States

Overview

The Woodfolk Laboratory within the Department of Medicine at the University of Virginia School of Medicine is seeking a Postdoctoral Research Associate specializing in systems immunology and computational biology. The research program focuses on human immune responses to allergens and respiratory viruses, exploring mechanisms behind asthma, food allergies, and chronic lung conditions. The successful candidate will work at the intersection of experimental and computational immunology to generate, analyze, and integrate high-dimensional datasets such as spectral flow cytometry and transcriptomics. Responsibilities include designing systems biology studies, building computational pipelines, collaborating with multidisciplinary teams, and mentoring students.

PostdocSystems ImmunologySingle-cell RNA sequencingFlow CytometryBioinformaticsComputational Biology

What you'll do

  • Design and execute systems immunology studies utilizing high-dimensional immune profiling and transcriptomic techniques.
  • Process, generate, and analyze multiparameter and spectral flow cytometry data to identify immune cell populations and cellular states.
  • Examine bulk and single-cell transcriptomic datasets and integrate them with flow cytometry and clinical phenotypes.
  • Develop and deploy computational pipelines and analytical workflows for large biological datasets.
  • Apply statistical and machine-learning methodologies to identify immune signatures and disease severity pathways.
  • Collaborate with team members to formulate hypotheses, interpret experimental results, and validate computational findings.
  • Contribute actively to scientific writing, manuscript preparation, grant applications, and conference presentations.
  • Mentor junior students and contribute to an interdisciplinary research laboratory environment.

Requirements

Degree required: PhD in immunology, computational biology, bioinformatics, systems biology, or a related field

Language: English

Instruction: English

Required skills
  • Strong foundational knowledge of immunology
  • Extensive coding and computational data analysis experience
  • Demonstrated proficiency in analyzing high-dimensional flow cytometry or transcriptomics datasets
  • Experience in developing or modifying computational pipelines for biological data analysis
  • Strong quantitative, statistical, and data visualization skills
  • Ability to work both independently and collaboratively within multidisciplinary teams
  • Excellent scientific communication and writing skills
Nice to have
Experience with single-cell RNA sequencing, CITE-seq, or TCR sequencingExperience applying machine learning or network analysis to immunological questionsPrior research experience investigating immune-mediated diseases
Eligibility
  • Must have been awarded a doctoral degree within the previous five years

Funding & terms

Type
Salaried
Amount
Salary will be commensurate with education and experience.
Duration
12-month appointment with the possibility of renewal for up to two additional one-year increments
Programme
University of Virginia
University of Virginia

How to apply

Interested candidates must apply online through the University of Virginia employment portal by searching for requisition number R0088202. Applicants need to submit a combined or separate resume/CV, cover letter, and contact information for three professional references into the designated submission field.

Documents required
  • Resume
  • Cover Letter
  • Contact information for three professional references
↗Apply on site

Contact

Jeremy Brofft· Senior Academic Recruiter

xmf9ad@virginia.edu

Lab
Woodfolk Laboratory
University of Virginia
United States
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