Director – Statistics

Director – Statistics

Requirements

• Education in a relevant field such as Biostatistics, Applied Mathematics, Physics, Electrical Engineering, Biomedical Engineering, Computer Science with at least 10 years of experience.
• Hands on experience with and strong interest in some of the relevant fields of biology, and experience supporting programs in Neuroscience, GI, Immunology, 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 (R, Python, and/or SAS) 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.
• Willingness and ability to self-educate in new areas.
• Strong collaborative skills and ability to work with a cross-functional team.

Responsibilities

• Serve as global statistical lead for preclinical 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.

Preferred Qualifications

• A working knowledge of UNIX operating systems is preferred, ideally with experience in high-performance computing environments.