Research Scientist, Computational Biology

Employer
Kite Pharma
Location
Santa Monica, CA, United States
Posted
Nov 08, 2020
Ref
R0016013
Required Education
Doctorate/PHD/MD
Position Type
Full time
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 to establish data analytics capabilities to manage, process, and analyze a large amount of analytical data 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 Computational Biologist to support ongoing efforts focused on integrating biological datasets to build analytics models that enable the discovery of patterns or trends and inform product manufacturability. The ideal candidate will effectively communicate results derived from statistical machine learning, establish workflows for data visualization in order to enable the continuous monitoring of method performance and evolve the ability to manufacture products while meeting quality standards. The successful candidate will conduct bioinformatics analysis to enhance understanding of signaling pathways that drive T cell differentiation and mechanisms 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


Basic Qualifications:
  • Ph.D. in Computational Biology or related discipline with 0+ years of industry experience
  • Masters Degree in Computational Biology or related discipline with 6+ years of industry experience
  • Bachelors Degree in Computational Biology or related discipline with 8+ years of industry experience


Preferred Qualifications:
  • Advanced knowledge of cell biology, cancer biology, and/or immunology
  • 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
  • Experience with LabKey, data management system
  • Experience with lab instrument automation
  • Experience with building IT infrastructure
  • 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


#IND123

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.