Duties: Takeda Development Center Americas, Inc. is seeking a Manager, Statistical Programmer
Requirements: Master’s degree in Math, Computer Science, or related field or foreign academic equivalent plus 6 years of related experience

Duties: Complete analytics (e.g., machine learning, artificial intelligence, advanced statistics) to support patient journey analysis and related analyses of interactions within the healthcare ecosystem; Implement the ideal methodology to apply for each analysis or process based on data availability and limitations; demonstrate curiosity in proposing different approaches with the manager; Implement repeatable, interpretable, dynamic, and scalable machine learning models that can be seamlessly incorporated into existing workflows; Derive insights from research and analyses to address the needs of business stakeholders in close collaboration with the manager; Process and analyses extensive health-related datasets, including Structured, Semi-structured, and Unstructured data
Requirements: Bachelor’s Degree in Computer Science, Engineering, Economics, Data Science, Marketing Analytics, Statistics or a relevant field required; 2+ years of full-time data analytics experience required; Experience in Machine Learning, including predictive modeling, clustering, feature selection methods, and regularization techniques required; Strong statistics background with hypothesis testing, multivariate linear regression, nonparametric methods; Proficiency in Python and SQL required; Familiar with data visualization tools (e.g., Tableau, PowerBI) highly preferred; Experience with causal inference, such as bootstrapping, regression discontinuity, synthetic controls

Duties: Collaborates with business partners in identifying analytical opportunities and developing BI-related goals and projects that will create strategically relevant insights; Work with internal and external partners to develop analytics vision and programs to advance BI solutions and practices; Understands data and sources of data.  Strategizes with IT development team and develops a process to collect, ingest, and deliver data along with proper data models for analytical needs; Interacts with business users to define pain points, problem statement, scope, and analytics business case.  Develops solutions with recommended data model and business intelligence technologies including data warehouse, data marts, OLAP modeling, dashboards/reporting, and data queries
Requirements: Bachelors’ Degree, from an accredited institution in Data Science, Statistics, Computer Science, or related field; 5+ years of experience with statistical modeling such as clustering, segmentation, multivariate, regression, etc. and analytics tools such as R, Python, Databricks, etc. required; Experience in developing and applying predictive and prescriptive modeling, deep-learning, or other machine learning techniques a plus; Hands-on development of AI solutions that comply with industry standards and government regulations