Decision Science Manager

About Astellas

Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com

Are you driven to make a real difference in the lives of patients?

We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.

Purpose and Scope:

Develop decision sciences models (e.g. simulation, optimization, machine learning etc.) to provide optimized decision recommendations to PDM functional units. Engage with stakeholders to deploy models and insights. Sustain and evolve models in alignment with changing functional needs based on latest algorithms and technologies.

Responsibilities and Accountabilities:

Decision Sciences Model Build

• Translate business requirements into Decision Sciences model selection and specifications
• Develop PoC/MVP to evaluate and optimize model performance (e.g. accuracy, quality of decision recommendations etc.)
• Work with business stakeholders and data teams to validate model and generate model deployment plan

Decision Sciences Full Stack Application Build

• Provides technical architecture recommendations to application developers to create full stack solution around the model.
• Build code components to integrate model with inbound data pipelines and user interfaces.
• Work with IT teams to ensure optimized data flow and infrastructure performance
• Support application technical testing and roll out to business users.

Decision Sciences Model Lifecycle Management

• Train business users on how to use model based applications for various decision scenarios
• Monitor model performance on a regular basis based on business user feedback.
• Identify and prioritize ideas for model performance improvement.
• Roll out new versions of model and applications with SDLC framework.

New Capabilities & Benchmarking

• Continuously monitor latest algorithmic developments by scanning publications, conferences etc.
• Run small experiments with new generations of algorithms to evaluate them.
• Identify promising models for application to Astellas use cases specifically relating to supply chain management, manufacturing & logistics