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Research Scientist, Computational Biology

Employer
KITE PHARMA, INC.
Location
California, Maryland, US
Salary
Competitive
Closing date
Oct 14, 2021
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Kite is continuing to hire for all open roles. Our interview process may be conducted virtually and some roles will be asked to temporarily work from home. Over the coming weeks and months, we will be implementing a phased approach to bringing employees back to site to ensure the health and safety of our teams.

For Current Kite Pharma Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.

Job Description

The Research Scientist I will be responsible for establishing data analytics capabilities to manage, process, and analyze a large amount of analytical data in order to gain insight into the biology of cell therapy products. They will work in a cross-functional team to enable in-process attribute and product understanding to identify opportunities for continuous process improvement. In this role, the ideal candidate will create or select algorithms to process, analyze, visualize, interpret as well as report large amounts of analytical data. They will collaborate cross-functionally to apply statistical tools, artificial intelligence/machine learning, and other data-mining techniques to build models to identify predictive biomarkers of manufacturability, i.e. viability, cell expansion, and achieving dose.

We are seeking a highly motivated and passionate Computational Biologist to contribute to the ongoing effort of integrating biological datasets to build analytics models to discover patterns, observe trends and use that information to predict product manufacturability. To effectively communicate results derived from statistical machine learning, the ideal candidate will establish workflows for data visualization for continuous monitor of method performance and ability to manufacture products meeting quality standards. The successful candidate will conduct bioinformatics analysis to enhance understanding of signaling pathways that drive T cell differentiation and mechanism of action of cell therapy products. The candidate will also be responsible for establishing and documenting the workflow for data analytics platforms from analysis through 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
  • Developing data analysis, visualization, and predictive analytics tools for data generated from flow cytometry, molecular biology, and protein expression platforms
  • Perform assessment of new data analytics technologies and business intelligence tools to drive continuous process improvements
  • Leading 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 workflow

Requirements
  • Ph.D. in Computational Biology or related discipline with 0+ years of industry experience or
  • MA/MS/MBA with 6+ industry experience; or
  • BS/BA with 8+ years of industry experience; or
  • HS Diploma with 12+ years of experience will also be considered

Additional 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 and integrating the sequencing dataset (scRNAseq, CITEseq, TCRseq)
  • Fluent in programming languages (R/Python) or any relevant modern programming languages
  • Solid understanding of statistics 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

Kite is a biopharmaceutical company engaged in the development of innovative cancer immunotherapies with a goal of providing rapid, long-term durable response and eliminating the burden of chronic care. The company is focused on chimeric antigen receptor (CAR) and T cell receptor (TCR) engineered cell therapies designed to empower the immune system's ability to recognize and kill tumors. Kite is based in Santa Monica, CA. For more information on Kite, please visit www.kitepharma.com. Sign up to follow @KitePharma on Twitter at www.twitter.com/kitepharma.

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For Current Kite Pharma Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.
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