Sr Analyst, Data Scientist - Quality

仕事内容

Sr. Analyst, Data Scientist – Data Analysis Focus, Quality

Everyone at Kite is grounded by one common goal – curing cancer. Every single day, we seek to establish a direct line between that purpose and our day-to-day work. Join us in our mission!

Kite is seeking a highly motivated, experienced, and resourceful Senior Analyst to support the Global Quality Organization operating out of our headquarters in Santa Monica, CA. Kite Quality is responsible for adhering to regulatory requirements while improving existing processes, reducing waste, and lowering costs to safely improve patient access to our life-saving therapies.

In this role you will collect, measure, visualize and interpret data across multiple functions that include Quality, Supply Chain, Manufacturing and Process Development with the intent of turning data into information, information into insights and insights into informed business decisions. This role is onsite 3 days a week.

Responsibilities:

• Develop a comprehensive and deep understanding of data and foster learning using analytical tools and applications to broaden efficiency and data accessibility.
• Assess and analyze business requirements and recommend solutions.
• Exercise judgment required within confined guidelines.
• Partner with decision makers across functional domains to clearly define business & technical problems
• Provide technical solutions to moderately complex problems. Solutions are thorough, realistic, and consistent with organization objectives.
• Filter and “clean” data within Kite’s enterprise data analytics platform and identify potential enhancements to improve analytical capabilities
• Work directly with customers to probe and ask effective questions to fully understand both the problem and desired solution
• Cross-train with other focus areas to expand data science knowledge
• Interpret data, analyze results and craft engaging narratives around insights derived through the data
• Use advanced SQL to develop queries for data stored across multiple tables and databases
• Develop regular dashboards in data visualization tools such as AWS QuickSight, Tableau and Spotfire to provide to business stakeholders a means to measure and better manage their respective areas
• Effectively work with partitioned data for historical descriptive analytics and data analysis
• Uses data patterns & trends to identify root cause of operational gaps and inefficiencies and to collaborate with other functional domains to develop solutions
• Provide technical solutions to moderately complex problems. Solutions are thorough, realistic, and consistent with organization objectives.
• Contributes to the completion of specific programs, projects or responsible individual business targets.
• Organize, prioritize, and coordinate multiple work activities to meet project deadlines. Identify and documents business processes.
• Support the regulated function of the department, understand and perform validation efforts in accordance with established procedure.

Basic Qualifications:

• Master’s Degree and 2+ years relevant experience OR
• Bachelor’s Degree and 4+ years relevant experience OR
• High School Diploma and 11+ years of relevant experience

Preferred Qualifications:

• Advanced use of AWS QuickSight
• BS/MS in Computer Science, Statistics/Biostatistics, or Mathematics preferred
• Experience in machine learning applications a plus
• Advanced use of SQL to develop ad hoc queries for data stored across multiple tables and databases
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Complete understanding and application of statistical methods, principles, theories, machine learning concepts and modern techniques for building data science applications to derive insights from data.
• Initiative to develop understanding of gene & cell therapy, its associated manufacturing process coupled with expanding technical knowledge of tools supporting data analytics
• Experience working within an AWS environment preferred
• Ability to work under general direction, independently determine and develop approach to solutions.
• Good communication skills including the ability to work cross-functionally and present data to a variety of audiences