Associate Director IT Data Scientist

Information Technology Bothell, Washington


Description

This newly created position will lead the development of data science supporting all organizations across Seagen establishing the methodology for delivering data science broadly. The successful leader will develop strategy and implement work plans to digitize, automate, connect, and analyze data of different sources, platforms, and systems, from process and analytical development laboratories to GMP operations, including QC laboratories and manufacturing facilities, both internal and external contract manufacturing organizations. This is a critical role as the success of the candidate will enable the organization to develop better processes, deepen process and data understanding, make better data-driven decisions, resulting in reductions of drug research, development, and delivery lifecycle through data. The candidate will partner heavily with ITLT and the functional area leaders across the company to implement a data science approach. The candidate will also partner with other data science leads from Research, Development, Regulatory and Commercial organizations to ensure smooth connectivity and consistency in data standards across Seattle Genetics. This position reports to the head of business information within I&T.  The candidate is expected to develop a vision for Data Science grow talent to fulfill its vision and mission.

Principal Responsibilities:  

  • Lead assessment of the state of digitalization at Seagen. Identify key strategic objectives for the organization and specific problems for each functional area to solve.  Develop long-term roadmap and short-term objectives for all informatic platforms across the organization. Align strategy with business objectives
  • Contribute to the vision for scalable and sustainable systems in IT in collaboration with functional area SMEs for the following operations:
    • Data infrastructure- data ingestion, availability, access and running environment to support workflow of scientists
    • Data automation - data generation, capture and integration in seamless fashion without user interference
    • Data engineering – data schema, cleansing, aggregation, and management
    • Data quality and data governance – tools and process to ensure data is correct, gated, monitored, documented and standardized
    • Data analytics – enabling decision making via powerful visualization and analytics tools to perform statistics, trending, root cause analyses, process modeling, machine learning, predictive and prescriptive analytics
  • Integrate data analytics capability and provide data of excellent quality to various data stakeholders for decision making
  • Build business case, timeline and budget for data science projects. Work with supervisor, IT business partner and management to champion the cause and gain approval for implementation
  • Implement quick short-term wins for users while building infrastructure toward the long-term vision
  • Ensure data tools implemented serve the need of the scientist (maximum positive user experience) and not the other way around
  • Act as a change agent internal to TOPS while influencing change outside TOPS. Educate and advocate to instill in staff the philosophy that data science is not just a technical discipline but is a capability to be integrated into the ways we conduct business throughout organization
  • Effectively partner with PMO to lead staff and management through change management process throughout the implementation lifecycle of new systems or applications
  • Provide support for continuous data verifications of commercial product manufacturing and data capture and trending of clinical projects. Develop GMP data verification and validation procedures to ensure sustainable yet defendable data integrity
  • Develop an organizational plan for Data Science. Identify skillset gaps and recruit talent with high potential for growth. Train and develop internal talents both in and outside of Data Science to support the vision and mission of Data Science. Manage and grow employees in capability and capacity
  • Develop key performance metrics and oversight governance to measure and review progress against objectives at appropriate frequency
  • Build a reputation for Data Science as a partner of choice with all stakeholders  

Qualifications:  

  • Experience with enterprise-level data science, analysis, automation, and providing data-focused system integration solutions
  • Thorough understanding of current state and future trends in data architecture, IoT connectivity, data integration, cloud computing, and data analytics
  • Has an appreciation of the type and uniqueness of data from biopharmaceutical process development and manufacturing
  • An effective communicator able to bridge between biologics/chemical sciences and information technology
  • Demonstrated success in advocacy for and implementation of enterprise-wide projects
  • Must enjoy and have demonstrated skillset for problem solving
  • Must enjoy and have demonstrated history for successful collaborations
  • Must be creative and have demonstrated ability to think beyond what is presently possible
  • Has highest integrity  

Education:  

  • S. or Ph.D. in Scientific or Engineering field with >10 years of industry experience in Tech, IT or biopharmaceutical sector applying data science directly with some leadership

As the leading employer in our industry in the Pacific Northwest, Seagen is proud to offer a competitive total compensation package as well as a comprehensive benefits program designed to support the whole lives of our employees and their families. Benefits include medical, vision and dental coverage, group and supplemental life insurance, 401(k) with company match, tuition reimbursement, relocation assistance and much more. To learn more about Seagen, please visit www.seagen.com.  

Seagen is an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, age, gender identity, sexual orientation, color, religion, sex, marital status, national origin, protected veteran status, disability status, or any other status protected by federal, state, or local law. 

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