Job Description

Research Associate, Cancer Immunology - Contractor

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  Tissue culture of multiple cancer cell lines simultaneously to support experimental efforts.
  
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  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.
  
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  Flow cytometry, including cell staining, processing, and data analysis.
  
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  Ex vivo experiments, including murine tissue collection, dissociation, and processing for downstream applications.
  
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  Data analysis and lab note documentation.
  
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  Work independently and collaboratively with team members.
  
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  Participate in routine lab and equipment maintenance.
  
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  Excellent team member, collaborator, and communicator
  

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  Excellent team member, collaborator, and communicator
  
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  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.
  
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  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.
  
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  Immuno-oncology-related in vitro assays experience.
  
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  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.
  
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  Highly organized and excellent record keeping skills.
  
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  Innovative, proactive team-players with high energy who will thrive in our fast-paced drug discovery and development environment.
  

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  Demonstrated proficiency with relevant assay readout technologies (e.g., CellTiter-Glo, AlphaLISA, MSD).
  
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  Experience with automation (e.g., robotic liquid handlers, cell seeders, etc.)
  
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  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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