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Research Scientist, Computational Biology

Company: Kite Pharma
Location: Santa Monica
Posted on: September 14, 2022

Job Description:

Job DescriptionResearch Scientist, Computational BiologyProduct Attributes Sciences, Analytical Ops, Process DevelopmentJob OverviewThe Research Scientist will be responsible for dissecting and analyzing large amounts of datasets generated at the molecular level, e.g. genomics, transcriptomics, and proteomics, in order to gain insight into the biology of cell therapy products. They will work in a cross-functional team to enhance in-process attribute and product understanding to identify biomarkers predictive of manufacturability. In this role, the ideal candidate will create or select mathematical models, develop simulations, and perform pattern analysis of biological systems to identify opportunities for continuous process improvement.We are seeking a highly motivated and passionate Computational Biologist build analytical models to observe trends, discover patterns, and use that information to predict process performance and product manufacturability. The successful candidate will utilize bioinformatic tools to enhance understanding of key pathways that drive T cell response, proliferation, and differentiation within product manufacturing along with elucidating the mechanism of action of final product. The candidate will also be responsible for establishing and documenting the workflow for bioinformatic platforms from analysis through data visualization. The successful candidate will represent Analytical Development in multiple cross-functional teams projects and opportunity to learn about process development and enable next generation of cell therapy development using computational biology approaches.Job Responsibilities and Duties

  • Building capabilities to analyze large biological data sets to enhance in-process attribute and product understanding
  • Develop bioinformatic workflows for data analysis, visualization, and predictive analytics for data generated from flow cytometry as well as data generated from molecular biology platforms
  • Perform assessment of new bioinformatic and business intelligence tools to drive continuous process improvements
  • Lead cross-functional efforts to compile specialized reports and data visualizations using standard business reporting and scientific data analysis applications
  • Author, review, and edit technical documents, i.e. SOPs and/or reports, describing data analytics workflowBasic Qualifications:
    • Ph.D. in Computational Biology or related discipline with 0 + years of experience or M.S. with 6+ industry experience or Bachelors Degree with 8+ years of industry experiencePreferred Qualifications:
      • Advanced knowledge of cell biology, cancer biology, and/or immunology preferred
        • Experience with designing and developing data models and databases (SQL, mongoDB)
        • Experience with visualization tools (Tableau, Spotfire, RShiny)
        • Experience with analyzing nex-generation sequencing, microarray, qPCR datasets; knowledge of scRNAseq, CITEseq, TCRseq desired
        • Experience with statistical software systems like JMP, SPSS and SAS
        • Fluent in programming languages, e.g., R, Python, or any relevant modern programming languages
        • Solid understanding of biostatistics and AI/ML algorithms and associated applications
        • Familiar with cloud environments (AWS, s3 buckets) and knowledge of data science infrastructure (data-bricks, H2O.ai)
        • Understanding of GxP and GMP is a plus
        • Experience with LabKey, data management system, is a plus
        • Experience with lab instrument automation is a plus
        • Experience with building IT infrastructure is a plus
        • Effective verbal and written communication skills
        • Ability to think critically and demonstrate troubleshooting and problem-solving skills
        • Ability to work in a fast-paced small company environment with minimal direction#LI-ML1#IND123

Keywords: Kite Pharma, Santa Monica , Research Scientist, Computational Biology, Other , Santa Monica, California

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