Associate Director, Digital CMC and Data-Driven ...

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 DescriptionAre you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine?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 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.POSITION OBJECTIVES: The Cell Therapy Pharmaceutical Sciences team is pursuing several programs towards in-human clinical studies, in addition to managing Takeda''s commercial cell therapy assets. The primary focus of this role will be to assist the Cell Therapies automation team in implementing novel ideas and advancing digital initiatives in the areas of bioprocess automation, predictive model and control, Digital Twin, data integration, and analytics. At Takeda, we are looking for smart, data-driven, creative data scientists and machine learning engineers capable of applying artificial intelligence and machine learning in solving problems in drug discovery. This role also includes involvement and leadership in global Takeda programs for implementing enabling technologies of industry 4.0Takeda and the Massachusetts Institute of Technology''s (MIT) School of Engineering launched the MIT-Takeda Program in 2020 to advance the development and application of artificial intelligence (AI) capabilities. The five-year collaboration leverages the combined expertise of researchers at both Takeda and MIT to support research, enhance the drug development process and build a better future for patients.Our Oncology R&D Product development and Automation group participates in several AI and robotics implementation programs inside the Takeda&MIT partnership.We are also collaborating with leading European universities on Digital Twin automated solution, Process automation technologies are developed in collaboration with research labs in Tokyo, Madrid, Belgium, Jerusalem, Vienna, and Melbourne. POSITION ACCOUNTABILITIES: Work with internal resources to integrate and connect data, helping lead to actionable learnings and trends Develop & support the understanding of the data infrastructure from discovery to clinical, across Cell Therapy functions Create Data Science Stack (Products): Conceptualize, prototype, and productize massive scale Data Science implementations Help design and create interactive visualizations that facilitate the generation of insights and understanding of complex data correlations Shape and assess data architectures and services through automation data for cell therapies manufacturing Implementation and operational analytics of data services, predictive models for process control, and & other problem-solving activities applying Machine/Deep Learning. Investigate and implement data platforms that integrate & connect clinical, process, and manufacturing data Understand major classes of data analytics, data services, and machine learning Education Requirements: Bachelors degree in chemistry, biology, pharmacy, or related pharmaceutical science and 15+ years relevant experience Masters degree in chemistry, biology, pharmacy, engineering or related pharmaceutical science; 13+ years relevant experience Ph.D. in chemistry, biology, pharmacy, engineering, or related pharmaceutical science; 7+ years relevant experience Technical Requirements: Proficiency with a deep learning framework such as TensorFlow or KerasProficiency with mathematical modeling Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Must display advanced knowledge in modeling of biological systems Solid background in scientific information and capable to implement and execute data science initiatives, analysis, machine learning. Prior experience in engaging with external partners, particularly with respect to technology evaluations Experience in multidisciplinary clinical projects and teams with the ability to integrate cross-functional information Experience in working in conjunction with the engineering and automation department to deliver phase-appropriate manufacturing solutions (including custom solutions) Experience in CART, immunology, immune-oncology, or vaccines is preferred PLC, automation, SCADA, programming, big data, data science, cloud computing, data management, computer science, machine learning, learning analytics, operations research. Knowledge and Skills: Respective programming knowledge in Python/R/C/JavaScript is required. Further programming experience is advantageous. Distributed computing, stochastic modeling, sampling methods, and randomized algorithms Proficiency in database languages (SQL), understanding of data models and databases Biotech/pharma experience and dealing with pre-clinical, manufacturing, and clinical data are a huge plus Proficient technically in types of data, databases, data wrangling, data processes, and data architecture Strong communication skills Team-orientedLeadership qualities Superior organizational skills Self-starter, pro-active, motivated TRAVEL REQUIREMENTS: May require approximately up to 10% travel WHAT TAKEDA CAN OFFER YOU: 401(k) with company match and Annual Retirement Contribution PlanTuition reimbursement Company match of charitable contributionsHealth & Wellness programs including onsite flu shots and health screeningsGenerous time off for vacation and the option to purchase additional vacation daysCommunity Outreach ProgramsAbsent an approved religious or medical reason, all US office-based and lab-based Takeda employees who work fully on-site or in a hybrid model (as determined by Takeda) must be fully vaccinated to work at a Takeda site or to engage with Takeda colleagues or anyone else on behalf of Takeda. US field-based employees must be fully vaccinated as a condition of employment, absent an approved religious or medical reason. US employees who work at a Takeda manufacturing facility, and those who work at a BioLife center or BioLife lab, may be subject to different guidelines. If you are contacted by a Takeda recruiter about your job application, we encourage you to seek more information on the applicable guidelines for the Business Unit/Function to which you have accordance with the CO Equal Pay Act, Colorado Applicants Are Not Permitted to Apply.LI-JT1EEO StatementTakeda 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.LocationsBoston, MAWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Created: 2025-11-15