Data Scientist

Kyowa Kirin is an expanding global specialty pharmaceutical company that utilizes cutting-edge biotechnologies to discover and provide innovative medicines in four areas with unfulfilled needs: oncology, nephrology, immunology, and CNS/movement disorders. The North America organization includes two offices (in New Jersey and California) that focus on drug discovery, product development, and commercialization. Together, we function as a close-knit team to comprehend clinical needs and progress innovative solutions that can have a substantial impact on patient lives. Job Summary: The Data Scientist will be responsible for applying advanced analytics and creating data-based insights for the Oncology, Rare Disease, and CNS business franchises in Kyowa Kirin North America. This role will report to the Senior Director, Business Insights and Analytics, and will be responsible for enhancing data science and advanced analytics capabilities by benefiting from best practices in data science, data mining, and advanced statistical modeling to advocate for a culture of data-driven decision-making. This role requires a unique combination of abilities and a sound business sense along with technical competence to gain the trust of internal stakeholders and develop innovative solutions to meet essential business needs. Key Duties: Play a critical role in identifying opportunities for machine learning and business intelligence to tackle unmet medical needs and aid the analysis of data to generate market insights. Establish artificial intelligence (AI)/ machine learning (ML) in fracture to support key strategic initiatives. Apply advanced analytics in support of our commercial teams, including exploratory applications of machine learning, deep learning, and artificial intelligence. Influence critical strategic business decisions by enhancing intelligence systems and predictive analytical techniques to address current and future business objectives. Take advantage of advanced data integration and governance capabilities through cloud computing, and AI/ML. Utilize machine learning to build predictive models for application in commercial initiatives. Develop automated capabilities that enable the application of machine learning across the Company’s portfolio of medicines. Ability to build and fine-tune algorithms that scale up from small-scale proof-of-concept stage to full production systems promptly. Communicate complex findings and insights to both technical and non-technical stakeholders through data visualizations, reports, and presentations. Job Requirements: Education A Bachelor’s degree in Statistics, Computer Science, Economics, applied mathematics, or a related field is required. A master’s or Ph.D. degree is preferred. Experience At least 10 years of relevant experience, including data science, advanced statistics, and business analysis. Strong understanding of healthcare data & technology; cross-industry experience in pharmaceutical, consumer, or technology industries preferred. Strong knowledge of secondary data sources, including syndicated sales, promotional & marketing data, longitudinal patient-level data, and diagnostic lab data; experience with payer data. Experience with field force analytics, including customer segmentation, targeting, promotional response measurements. High degree of creativity and sense of urgency in developing new approaches, processes, and methodologies. Technical Skills Proficiency in Python, SAS, and R. Experience with MS Office suite is required. Non-Technical Skills Demonstrated ability to organize, prioritize, meet deadlines, make decisions, and change course of action quickly. Excellent interpersonal and communication skills. A strong work ethic is required. Detail-oriented and excellent follow-through. Recruitment & Staffing Agencies Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location as Kyowa Kirin is not responsible for any fees related to unsolicited resumes.