Associate Director, Statistics

Takeda • Boston, MA

10d • Hybrid

About The Position

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as Associate Director, Statistics in our Cambridge, MA office. At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Here, you will be a vital contributor to our inspiring, bold mission. Takeda’s mission is to serve patients. This patient focus drives the organization to create the medicines patients need and the innovations that will deliver genuine improvements to their lives. Takeda insists on a high standard for innovation in order to deliver true value to patients, healthcare providers, payers and other stakeholders. The R&D Data and Quantitative Sciences organization influences senior leadership and stakeholders to advance Takeda’s R&D pipeline. Central to Takeda’s R&D operating model are the pillars of Data & Quantitative Sciences, which are leveraged to support the imperative of becoming a data-driven and scientifically and quantitatively disciplined rigorous organization. This focus enhances the speed and success of R&D growth and strengthens competitiveness. R&D Data & Quantitative Sciences encompasses several global functions, including Quantitative Pharmacology and Translational Sciences, Statistics & Quantitative Sciences, Programming, Patient Safety & Pharmacovigilance, and Strategic Operations The Statistics and Quantitative Sciences (SQS) department integrates data science, analytics, and quantitative methods to enhance efficiency and precision throughout the drug discovery and development lifecycle. It leverages cutting-edge technology, machine learning, AI, and statistical methods to analyze complex datasets, generate predictive models, and provide actionable insights. It collaborates cross-functionally to ensure scientific rigor and compliance with regulatory standards in all decision-making processes.

Requirements

• Must have degree in statistics/biostatistics or in other equivalent quantitative sciences along with the following specific credentials:
• PHD with ~ 5 years experience
• MS with ~ 8+ years experience
• Subject matter expertise in several quantitative and statistical areas and establishes oneself as a go-to colleague on a few topics
• Scientific understanding of drug R&D to inform methodological input with product team or in a platform
• Strong communication skills and ability to translate effectively across functional lines
• Ability to Identify and research new innovative approaches and leverage fit-for-purpose methods in to programs
• Enable the tactical execution of the SQS and DQS vision and mission
• Lead and be accountable for asset level strategies being implemented
• Demonstrate mentorship, matrix or direct management of small team of SQS colleagues
• Facilitate collaboration cross functionally in GPTs and generally within DQS and R&D
• Create an internal and external sphere of influence in area of expertise

Responsibilities

• Lead delivery for one or more assets at GPT level or specialty area in preclinical, clinical, translational
• Facilitate execution and delivery collaboration cross functionally in Global Project Teams (GPTs), generally within DQS and R&D, and with external vendors
• Enable the consistent execution of the SQS and DQS seamless and predictable delivery mission
• Lead and be accountable for asset level delivery strategies being implemented with effective risk identification and mitigation
• Create an internal cross functional and external with vendors sphere of influence in predictable delivery
• Identify opportunity for continuous improvement in delivery approaches and leverages fit-for-purpose mitigations by leveraging them

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree