What are the responsibilities and job description for the Manager, Generative AI position at BioSpace?
Join a Legacy of Innovation 110 Years and Counting!
Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.
Summary
As a Manager, Generative AI, you will be responsible for conceptualizing, developing, implementing, and ensuring adoption for Generative AI solutions process, from data acquisition and pre-processing to training and deployment across various departments of Daiichi Sankyo. You will join a global team of talented AI engineers collaborating with cross-functional teams to deliver innovative solutions. The ideal candidate will have a strong background in generative AI, excellent leadership skills, and a passion for pushing the boundaries of AI technology.
Responsibilities
Education (from an accredited college or university)
Required
5 or More Years of AI/ML experience, with at least 2 years in AI/ML, 1 year in Gen AI/NLP development and implementation.
Strong knowledge of AI/ML algorithms and techniques, NLP, LLM techniques with a proven history of delivering business value
Experience with big data technologies (e.g., Hadoop, Spark) and cloud-based AI/ML services (Azure Open AI /AWS) preferred.
Deep understanding of Python and/or R programming languages, as well as experience in leveraging these tools to analyze complex datasets, build predictive models, and generate insights preferred.
Preferred
1 or more years of experience in a leadership role within Data Science in a Global Life Sciences organization
Demonstrated experience in the pharmaceutical industry, specifically in the field of oncology, with a deep understanding of the drug discovery and development process, clinical trials, and regulatory requirements.
Travel
Ability to travel up to 5% Occasional travel for meetings and seminars.
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 120 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 16,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.
Summary
As a Manager, Generative AI, you will be responsible for conceptualizing, developing, implementing, and ensuring adoption for Generative AI solutions process, from data acquisition and pre-processing to training and deployment across various departments of Daiichi Sankyo. You will join a global team of talented AI engineers collaborating with cross-functional teams to deliver innovative solutions. The ideal candidate will have a strong background in generative AI, excellent leadership skills, and a passion for pushing the boundaries of AI technology.
Responsibilities
- Collaborate with cross-functional teams to gain a deep understanding of their Generative AI goals and aspirations) and leverage this knowledge to develop Generative AI solutions that align with their needs. Drive the research, development, and implementation of generative AI models and algorithms, ensuring they meet the highest standards of performance, scalability, and reliability.
- Drive the organization's GenAI strategy forward as a member of the GenAI Center of Excellence (CoE). This includes establishing frameworks and best practices for managing Gen AI solutions. Support development and implementation of Gen AI security and governance policies to ensure that data is collected, managed, and used in a responsible and ethical manner.
- Manage and allocate resources effectively, ensuring the team has the necessary tools, infrastructure, and support to deliver high-quality AI solutions. Provide mentorship and guidance to individuals and teams on the effective use of GenAI and other AI technologies, tools, and techniques to drive successful outcomes. This involves sharing best practices, providing coaching and feedback, and supporting the professional development of team members. Additionally, actively foster a culture of continuous learning and development, encouraging the exploration of novel approaches and technologies in the AI/ML field.
- Oversee on-going support for GenAI and other AI solution environments. Monitor and evaluate the performance of generative AI models and algorithms, identifying areas for improvement and implementing necessary enhancements.
- Continuously evaluate new GenAI research, trends, technologies, tools, and platforms and their applications in the pharmaceutical industry. Optimize and tune data infrastructure and systems for performance, reliability, and scalability.
Education (from an accredited college or university)
- Bachelor's Degree Bachelor's degree in fields such as Computer Science, Information Technology required
- Master's Degree Master's degree in fields such as Computer Science, Information Technology preferred
Required
5 or More Years of AI/ML experience, with at least 2 years in AI/ML, 1 year in Gen AI/NLP development and implementation.
Strong knowledge of AI/ML algorithms and techniques, NLP, LLM techniques with a proven history of delivering business value
Experience with big data technologies (e.g., Hadoop, Spark) and cloud-based AI/ML services (Azure Open AI /AWS) preferred.
Deep understanding of Python and/or R programming languages, as well as experience in leveraging these tools to analyze complex datasets, build predictive models, and generate insights preferred.
Preferred
1 or more years of experience in a leadership role within Data Science in a Global Life Sciences organization
Demonstrated experience in the pharmaceutical industry, specifically in the field of oncology, with a deep understanding of the drug discovery and development process, clinical trials, and regulatory requirements.
Travel
Ability to travel up to 5% Occasional travel for meetings and seminars.
Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
