Effectively working with and gleaning insights from a wide variety of data sources, such as wearable device data (for example accelerometry and ECG), voice recordings, imaging data, electronic health records or social media postings.
Applying state-of-the-art data science methodogies (taken from statistics, machine learning, and AI) as needed for various projects and data types.
Developing bespoke data analysis pipelines by applying state-of-the-art data manipulation and analysis tools in a variety of programming languages.
Participating in design of studies, and in supporting studies through all stages of data analysis.
Supporting Takeda's goal of using data science to better understand the patient journey and to help us tailor interventions that maximize patient benefit.
Contribute to representing 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 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, EXPERIENCE 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 some relevant experience (including internships and research assistanceships), or b) Master's degree with a minimum of 3 years of relevant experience
Expert-level knowledge of data science programming languages (Python and R, or similar) and experience with recommended practices for software development.
Signficant 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.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Ability to sit and stand for long periods of time.
Carrying, handling and reaching for objects.
Ability to lift and carry over 25 pounds.
Manual dexterity to operate office equipment i.e. computers, phones, etc.
Access to transportation to attend various meetings held in proximity to the Takeda offices.
Able to fly to various meetings at investigator, vendor or regulatory agency sites.
Some international travel may be required.
Takeda Pharmaceutical Company Ltd