By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

About the role:

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.

Join Takeda as an Associate Director, Statistics in Cambridge, MA, where you will be independently designing studies, ranging from simple to more complex, and supporting all aspects of projects from data wrangling through to machine learning and statistical analysis. You will be applying a breadth of data science methodologies as needed for various projects and data types. You will use your skills in signal processing to support analysis of, video/ image analysis or high-frequency accelerometry. Projects will require advanced analytical and statistical methods, such as statistical inference and modern methods for machine learning and AI. Ultimately, you will understand how data science projects fit within Takeda’s preclinical and clinical efforts, with the goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit.

As part of the Statistical & Quantitative Sciences team, within our Data Sciences Institute, you will report to the Senior Director, Statistics. You will understand and work with a wide variety of data sources, such as wearable device data (for example accelerometry and ECG), voice recordings, video or imaging data, or electronic health records.  Gleaning insights from these datasets and accurately assessing their usefulness and limitations. You will be identifying and applying state-of-the-art data manipulation and analysis tools, in various programming languages, to develop bespoke analysis pipelines.

Takeda SQS is looking to add individuals to our team that are team oriented, collaborative, strong understanding of the statistical programming function, exceptional leaders and innovators.  Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet.

How you will contribute: 

• Independently represent data science function on global project teams in support of pre-clincial and clinical studies and compound level programs.
• Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.
• Strengthen Takeda’s advanced analytics toolkit by identifying and applying emerging techniques, as well as by advancing the state of the art and developing novel analysis tools as needed.  
• Collaborate effectively within a matrix environment, with scientists in various therapeutic areas to understand disease biology and to identify or develop appropriate goals for data science work (for example identifying sensitive and specific endpoints for segmenting patient population, tracking disease progression, quantifying quality of life, etc.) as well as with with colleagues from pharmacology, chemistry, imaging, translational sciences, computational biology, experimental medicine
• Work closely with Takeda statisticians to ensure statistical issues in data analysis are addressed as needed.
• Anticipate and communicate internal and external resource and quality issues that may impact deliverables