Research Associate, Cancer Immunology Job at Planet Pharma, Redwood City, CA

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  • Planet Pharma
  • Redwood City, CA

Job Description

Research Associate, Cancer Immunology

As a key member of our dynamic Cancer Immunology team, you will have proven expertise in:

  • Tissue culture of multiple cancer cell lines simultaneously to support experimental efforts.
  • Experience in immune cell culture and functional assays, such as T cell proliferation, suppression, killing, antigen presentation, and/or phagocytosis assays to support target identification and validation efforts.
  • Flow cytometry, including cell staining, processing, and data analysis.
  • Ex vivo experiments, including murine tissue collection, dissociation, and processing for downstream applications.
  • Data analysis and lab note documentation.
  • Work independently and collaboratively with team members.
  • Participate in routine lab and equipment maintenance.
  • Excellent team member, collaborator, and communicator

Required Skills, Experience and Education:

  • Excellent team member, collaborator, and communicator
  • Bachelor’s degree or Master’s degree in Science with 3+ years of experience in a cell biology/cellular assay development role. Title will be adjusted according to experience.
  • Deep expertise with mammalian cell culture across various cell types (primary and immortalized) and growth conditions. Demonstrated experience handling (maintaining, passaging, plating) multiple cell lines at once.
  • Immuno-oncology-related in vitro assays experience.
  • Hands-on experience with a wide range of cellular assay techniques (including, but not limited to, Flow Cytometry, Western Blot, MSD, qPCR) suitable for target identification and/or compound characterization.
  • Highly organized and excellent record keeping skills.
  • Innovative, proactive team-players with high energy who will thrive in our fast-paced drug discovery and development environment.

Preferred Skills:

  • Demonstrated proficiency with relevant assay readout technologies (e.g., CellTiter-Glo, AlphaLISA, MSD).
  • Experience with automation (e.g., robotic liquid handlers, cell seeders, etc.)
  • Familiarity with data processing, curve fitting, and visualization tools to analyze small and large datasets (e.g., GraphPad Prism, Genedata Screener, D360, or Spotfire).

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