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Research Associate: Systems Biology

Employer
Planet Pharma
Location
Los Angeles, California, US
Salary
Competitive
Closing date
Jun 28, 2022

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Sector
Academic / Research
Field
Conservation science
Discipline
Genetics, Biology
Salary Type
Salary
Employment Type
Full time
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The Opportunity:

As a member in our Biology team, you will:
  • Be a critical contributor to mechanistic biology and precision medicine research fundamental to the discovery of novel anti-cancer agents.
  • Utilize pharmacologic and genetic approaches, including CRISPR gene editing, to characterize key oncogenic signaling pathways in order to establish molecular mechanisms underlying response to targeted cancer therapies.
  • Maintain cultures of multiple human cancer cell lines and CRISPR-engineered cell lines simultaneously to support experimental efforts.
  • Perform molecular biology/bioassays to interrogate effects of inhibitors on cellular pathways - PCR, qPCR, DNA/RNA preparation, Sanger sequencing, cloning, SDS-PAGE/Western blot, MSD etc.
  • Prepare next-generation sequencing libraries for targeted gene panels (DNA and RNA) and operate Illumina sequencer.
  • Develop and perform plate-based cellular assays using reagent kits (experience with assay automation/robotic liquid handlers would be a plus).
  • Analyze data using data analysis software: Excel, GraphPad Prism, and Softmax Pro.
  • Be an excellent team member, collaborator, communicator.
  • Have an eagerness to learn new techniques.


Required Experience, Skills, and Education:
  • Bachelor's degree or Master's degree in Molecular Biology, Biochemistry, Biology, Genetics, or related field.
  • 2+ years of experience in cell culture/molecular biology role in biotech or academic lab.
  • Hands-on experience beyond laboratory coursework with demonstrated proficiency in a variety of cellular and molecular biology techniques (e.g. mammalian cell culture, SDS-PAGE/Western blot, PCR, qPCR, kit-based assays such as CTG, AlphaScreen, MSD).
  • Desire to learn and develop functional genomics approaches for applications in oncology.
  • Rigorous, quantitative, attention to detail, keen to maximize efficiency.
  • Highly organized, detail-oriented, excellent record keeping skills, and calm under pressure.
  • Demonstrated ability to meet project deadlines and work efficiently in a fluid environment.
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