Lead Immunology Scientist: Donor Biology & Ex Vivo Systems

Prellis Biologics, Inc

Berkeley (CA)

On-site

USD 130,000 - 180,000

Full time

14 days+

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Job summary

Prellis Biologics in Berkeley, CA is seeking an Principal Associate Scientist / Scientist - Immunology (Donor Biology) to advance our ex vivo immune system platform. You will collaborate across disciplines to develop lymph node organoids, design and run in vitro assays, and contribute to donor-based immune process development and antibody biomolecular engineering.

The role involves hands-on lab work (60-80%), data-rich analyses of immunology datasets (B/T cells, mRNA, BCR/TCR), and close work

Qualifications

  • PhD with 1+ years in industry or postdoc experience.
  • MSc with 4+ years industry experience.
  • Deep knowledge of adaptive immunology.
  • Experience with antibody discovery workflows.
  • Extensive flow cytometry experience.
  • Proficiency in isolating and culturing primary cells.

Responsibilities

  • Analyze donor biology and immunology data to guide ex vivo system.
  • Design and execute in vitro assays and assess antibody responses.
  • Lead donor blood procurement, inventory, and data collection.
  • Characterize immune cell responses with novel techniques.
  • Collaborate across teams on donor selection and system development.
  • Be hands-on in the lab 60-80% of the time.

Skills

Adaptive immunology
B and T cell biology
Data analysis
Experimental design
Flow cytometry
Primary cell culture
In vitro assay development

Education

PhD in immunology or related field
MSc in immunology or related field

Tools

FlowJo
GraphPad Prism

Job description

Prellis Biologics in Berkeley, CA is seeking an Principal Associate Scientist / Scientist - Immunology (Donor Biology) to advance our ex vivo immune system platform. You will collaborate across disciplines to develop lymph node organoids, design and run in vitro assays, and contribute to donor-based immune process development and antibody biomolecular engineering.

The role involves hands-on lab work (60-80%), data-rich analyses of immunology datasets (B/T cells, mRNA, BCR/TCR), and close work

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