Associate Director, Statistics

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 [ Link removed ] - Click here to apply to Associate Director, Statistics and [ Link removed ] - Click here to apply to Associate Director, Statistics. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as an Associate Director, Statistics.

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

Here, you will be a vital contributor to our inspiring, bold mission.

POSITION OBJECTIVES:

• Providing statistical support in the design, analysis, and interpretation of non-clinical and biomarker studies to enable quantitative decision making
• Contributing statistical modeling expertise to cross-functional project teams, working closely with colleagues from Discovery biology, translational and clinical research, and partner lines
• Effectively working with and gleaning insights from a wide variety of data sources, from standard in-vitro & in-vivo assays to complex imaging data or sensor data
• Applying state-of-the-art data science methodogies (taken from statistics, machine learning, and AI) and fit-for-purpose statistical analysis for various projects and data types

POSITION ACCOUNTABILITIES:

• Serve as global statistical lead for in non-clinical statistics across therapeutic areas.
• Play a leadership role in development and completion of major data analysis deliverables and milestones in collaboration with other functions.
• Drive/participate in development and implementation of global systems, processes and standards to maximize quality and efficiency.
• Provide or identify internal and external statistical expertise and capacity to support development activities.
• Assess, communicate and propose solutions for internal, external resource and/or quality issues that may impact deliverables/timeline at the program level. 
• Contribute to representing data science function on project teams in support of pre-clinical 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 developing novel analysis tools as needed. 
• Collaborate effectively within a matrix environment, working with scientists in various therapeutic and computational areas to understand disease biology and to tailor data analysis to program-specific needs. 
• Work closely with Takeda statisticians to ensure statistical issues in data analysis are addressed.
• Communicate internal and external resource and quality issues that may impact deliverables or timelines of the program.  Escalate issues to management as appropriate in a timely manner.
• Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.

EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:

• Education in a relevant field, for example a) PhD in a field such as Biostatistics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics with at least 5 years of experience, or b) Master’s degree with a minimum of 8 years of relevant experience
• Hands on experience with and strong interest in some of the relevant fields of biology, and experience supporting programs in Rare Diseases, Neuroscience, GI, Oncology
• Advanced knowledge of pharmaceutical industry, overall drug development process with expertise in the cross-functional interfaces with the Statistics function.
• Excellent oral and written communications skills.
• Expert-level knowledge of data science programming languages (Python and R, or similar) and experience with recommended practices for software development.
• Strong inter-personal and people management skills.
• Strong project management skills.
• Significant depth of expertise in at least one field relevant to the job (for example, machine learning, signal processing, etc.) and strong background in both supervised and unsupervised machine learning.
• Ability to work independently on complicated datasets, including all aspects of data analysis (data cleaning, algorithm development, statistical analysis, and documentation).
• A working knowledge of UNIX operating systems is preferred, ideally with experience in high-performance computing environments.  
• Excellent oral and written communications skills.
• Willingness and ability to self-educate in new areas.
• Strong collaborative skills and ability to work with a cross-functional team.

WHAT TAKEDA CAN OFFER YOU:

• 401(k) with company match and Annual Retirement Contribution Plan
• Tuition reimbursement Company match of charitable contributions
• Health & Wellness programs including onsite flu shots and health screenings
• Generous time off for vacation and the option to purchase additional vacation days
• Community Outreach Programs

Empowering Our People to Shine

Discover more at takedajobs.com

No Phone Calls or Recruiters Please.

In accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.

This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.