Digital and Data Platform Development Lead
4 weeks ago
Job Title: R&D Quality Data AI Science Manager Lead
Job Summary:
We are seeking a highly skilled R&D Quality Data AI Science Manager Lead to lead the implementation and management of AI and GenAI data products with R&D and enterprise stakeholders, ensuring compliance to company and regulatory requirements.
Key Responsibilities:
- Lead the implementation and management of AI and GenAI data products with R&D and enterprise stakeholders.
- Ensure compliance to company and regulatory requirements.
- Lead or provide Machine Learning expertise for complex and large-scale data projects to lead insights and data-driven decision-making.
- Lead or provide Quality expertise to latest data programs for internal and external partners.
- Subject matter expert for Machine Learning framework and its application in digital and innovation projects in R&D and enterprise.
- Develop and implement data models and algorithms to analyze complex datasets related to pharmaceutical quality and R&D.
- Leverage generative Artificial Intelligence (AI) and large language models (LLM) to enhance data analysis, automate processes, and produce insights.
- Collaborate with cross-functional teams to design and accomplish experiments, ensuring data integrity and accuracy.
- Provide expertise in designing, modeling, and delivering digital projects for R&D, technology teams, and global DD&T experts; understand, advise, and build data flow optimization including data capture, integration, and use.
- Subject Matter Expert for setting and maintaining GxP standards for future state according to Takeda Software Development Lifecycle (SDLC) policies and QMS - including digital products and new technologies.
- Lead the integration and advancement of AI technologies in R&D Quality and partner with internal DD&T and DSI teams using current industry trends, latest technologies, and best practices in data science, generative AI, and pharmaceutical research.
- Develop and implement strategic AI programs to enhance QMS and Quality processes.
- Oversee AI-driven projects, ensuring agreement on our goals and delivery timeline.
- Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making.
- Provide guidance and mentorship to R&D Quality organization and Data Digital Quality team members, promoting their professional growth.
Requirements:
- Degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field with 10+ years experience, or MS with 16+ years experience.
- Experience leading AI-driven projects in a pharmaceutical or biotechnology setting.
- Experience with generative AI and large language models (e.g., Familiarity with GxPs, regulatory requirements, and quality standards in the pharmaceutical industry).
- Experience with SDLC and processes for development of pharma R&D platforms; experience with validation/quality compliance requirements.
- Knowledge of AI technologies in pharmaceutical industry (10 years experience).
- Experience in designing, building, or supporting robust, scalable ML or LLM models (5 years experience).
- Experience with or knowledge of Agile Software Development methodologies would be ideal.
What We Offer:
- Full-time position at Takeda Pharmaceuticals.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
Equal Employment Opportunity:
Takeda Pharmaceuticals is an equal employment opportunity employer and welcomes applications from diverse candidates.
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