Data Scientist

The role

The Data Scientist will apply advanced analytics and create data-based insights for Oncology, Rare Disease, and CNS business franchises. This role involves leveraging machine learning, data mining, and statistical modeling to drive data-driven decision-making.

What you will do

• Identify opportunities for machine learning and business intelligence to solve unmet medical needs.
• Create artificial intelligence and machine learning in fracture to support strategic initiatives.
• Implement advanced analytics in support of commercial teams.
• Influence strategic business decisions by enhancing intelligence systems and predictive analytical techniques.
• Leverage advanced data integration and governance through cloud computing and AI/ML.
• Utilize machine learning to build predictive models for commercial initiatives.
• Develop automated capabilities for machine learning across the medicine portfolio.
• Build and fine-tune algorithms that scale from proof-of-concept to full production systems.
• Communicate complex findings to technical and non-technical stakeholders through visualizations, reports, and presentations.

Required qualifications

• Bachelor’s degree in Statistics, Computer Science, Economics, applied mathematics, or a related field
• At least 10 years of relevant experience, including data science, advanced statistics, and business analysis
• Strong understanding of healthcare data and technology
• Strong quantitative and diverse analytical skills including exploratory data analyses, computer science, statistics, modeling, mathematics, and programming languages
• Extensive experience working with large complex data
• Proficiency in SAS, R, Python, or SQL
• Experience with big data technologies such as Hadoop
• Experience in querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling, and predictive modeling
• Strong knowledge of secondary data sources including syndicated sales, promotional and marketing data, longitudinal patient-level data, and diagnostic lab data
• Experience with payer data
• Proficiency in manipulating and extracting insights from large longitudinal data sources such as claims, diagnostic, EMR, and other data sets
• Expertise in managing and analyzing a range of large, secondary transactional databases

Nice to have

• Master’s degree
• Ph.D. degree
• Cross-industry experience in pharmaceutical, consumer, or technology industries

Benefits

• 401K with company match
• Annual Bonus Program
• Generous PTO and Holiday Schedule including Summer and Winter Shut-Downs, Sick Days and, Volunteer Days
• Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision)
• HSA & FSA Programs
• Well-Being and Work/Life Programs
• Life & Disability Insurance
• Concierge Services
• Long Term Incentive Program
• Pet Insurance
• Tuition Assistance
• Employee Referral Awards

About the company

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines. The company is Japan-based and headquartered in North America in Princeton, NJ.