Hiring company: Takeda
Are you looking for a patient-focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda. Join us as a Associate Director, Digital CMC and Data-Driven Decision Making at our Cambridge office.
Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. As a Associate Director, Digital CMC and Data-Driven Decision Making you will be empowered to provide scientific expertise and work with internal stakeholders as well as external Partners across multiple functions at Takeda, and a typical day will include:
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.
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, EXPERIENCE, BEHAVIOURAL COMPETENCIES, AND SKILLS:
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 Keras
Proficiency 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
Knowledge and Skills:
Education and Experience:
General
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-oriented
Leadership qualities
Superior organizational skills
Self-starter, pro-active, motivated
TRAVEL REQUIREMENTS:
May require approximately up to 10% travel
Absent 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 applied.
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
#LI-KD1
This job posting excludes CO applicants.
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.