Takeda Pharmaceutical
Director, AI Strategy for Biologics
Takeda Pharmaceutical, Boston, Massachusetts, us, 02298
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Job DescriptionAbout the role:At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.
Join Takeda as a Director, AI Strategy where you will lead the strategic application, integration and development of machine learning and AI technologies in the discovery and development of biologics ensuring alignment with Global Biologics and Takeda Research goals to deliver innovative, highly differentiated therapeutic opportunities for patients. You will also drive integration of the modeling pipelines with internal data mining platforms and build a continuous test and learn pipeline. As part of the Global Biologics team, you will report to the Head of the organization and coordinate with internal and external collaborators to build Takeda’s capabilities in this area towards the goal of accelerating drugs to patients.
How you will contribute:
Lead the integration and advancement of AI technologies in biologics discovery.
Develop and implement strategic AI initiatives to enhance biologics research and lab processes.
Oversee AI-driven projects, ensuring alignment with company goals and timely delivery.
Foster collaboration with internal teams and external partners.
Build and mentor a high-performing AI and data science team.
Identify and evaluate academic / industry collaborations and serve as the point of contact with external partners/ stakeholders.
Proactively assess external opportunities and internalize novel methods and tools.
Foster a culture of innovation and scientific excellence within the drug discovery team, promoting collaboration, knowledge sharing, and continuous learning.
Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making and further learning and optimize drug discovery efforts.
Stay abreast of the latest advancements in drug discovery, emerging technologies, and industry trends, and apply this knowledge to enhance drug discovery strategies.
Provide guidance and mentorship to team members, fostering their professional growth and development.
Communicate and explain strengths and weaknesses of complex computational models and ML techniques to broad scientific audience from diverse disciplines.
Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.
Minimum Requirements/Qualifications:
PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 10+ years experience , or MS with 16+ years experience, or BS with 18+ years experience.
A minimum of 10 years of experience applying machine learning/ deep learning approaches in the life sciences.
Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting.
Significant depth of expertise in at least one field relevant to the job (for example, machine learning, biotherapeutic design, etc.).
More about us:At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
LocationsBoston, MA
Worker TypeEmployee
Worker Sub-TypeRegular
Time TypeFull time
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Job DescriptionAbout the role:At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.
Join Takeda as a Director, AI Strategy where you will lead the strategic application, integration and development of machine learning and AI technologies in the discovery and development of biologics ensuring alignment with Global Biologics and Takeda Research goals to deliver innovative, highly differentiated therapeutic opportunities for patients. You will also drive integration of the modeling pipelines with internal data mining platforms and build a continuous test and learn pipeline. As part of the Global Biologics team, you will report to the Head of the organization and coordinate with internal and external collaborators to build Takeda’s capabilities in this area towards the goal of accelerating drugs to patients.
How you will contribute:
Lead the integration and advancement of AI technologies in biologics discovery.
Develop and implement strategic AI initiatives to enhance biologics research and lab processes.
Oversee AI-driven projects, ensuring alignment with company goals and timely delivery.
Foster collaboration with internal teams and external partners.
Build and mentor a high-performing AI and data science team.
Identify and evaluate academic / industry collaborations and serve as the point of contact with external partners/ stakeholders.
Proactively assess external opportunities and internalize novel methods and tools.
Foster a culture of innovation and scientific excellence within the drug discovery team, promoting collaboration, knowledge sharing, and continuous learning.
Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making and further learning and optimize drug discovery efforts.
Stay abreast of the latest advancements in drug discovery, emerging technologies, and industry trends, and apply this knowledge to enhance drug discovery strategies.
Provide guidance and mentorship to team members, fostering their professional growth and development.
Communicate and explain strengths and weaknesses of complex computational models and ML techniques to broad scientific audience from diverse disciplines.
Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.
Minimum Requirements/Qualifications:
PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 10+ years experience , or MS with 16+ years experience, or BS with 18+ years experience.
A minimum of 10 years of experience applying machine learning/ deep learning approaches in the life sciences.
Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting.
Significant depth of expertise in at least one field relevant to the job (for example, machine learning, biotherapeutic design, etc.).
More about us:At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
LocationsBoston, MA
Worker TypeEmployee
Worker Sub-TypeRegular
Time TypeFull time
#J-18808-Ljbffr