Manager, Innovation Strategy and Solutions
Bristol-Myers Squibb
Manager, Innovation Strategy and Solutions
Job Description
Support the framing, assessment, and prioritization of internal and external innovation initiatives in collaboration with stakeholders across GBDS, with a focus on delivering solutions that enhance efficiency and quality across clinical development activities. Apply expertise in R—including Shiny dashboards and package development—to design and prototype advanced tools and applications to support analytics, automation, and decision-making across GBDS. Leverage Python to support areas such as DevOps, data engineering, machine learning, or generative AI, where applicable. Familiarity with SAS is a plus for integration with legacy environments. Provide strategic input on project direction and contribute to the technical architecture of solutions, ensuring they are scalable, maintainable, and aligned with GBDS' data and analytics strategy. Partner with GBDS teams to propose, develop, and implement innovative solutions that streamline process execution across biometrics and the broader Global Drug Development organization. Ensure scientific validity and technical correctness of tools and platforms supporting clinical trial processes, ensuring fitness for regulatory submission and operational use. Promote solution governance by aligning development with internal policies, stakeholder workflows, and regulatory expectations, including those from FDA, PMDA, and other authorities. Serve as a departmental expert in CDISC standards, contributing to innovation in standards implementation for protocol development, statistical analysis, and reporting. Foster a culture of continuous improvement and innovation, including support for the evaluation and integration of new technologies (e.g., automation tools, GenAI, metadata-driven workflows). Take ownership of cross-functional innovation efforts, from concept development through to implementation, with a strong bias toward rapid prototyping and scaling viable solutions. Collaborate with internal teams (e.g., IT, Procurement) and external vendors to identify and prioritize new technical capabilities that advance GBDS' digital and data objectives. Contribute to training, communications, and change management activities to promote adoption and user engagement for newly developed tools and platforms. Maintain up-to-date knowledge of trends and best practices across data science, analytics, clinical technology, and regulatory science, and apply this knowledge to optimize internal practices. Actively participate in external organizations such as CDISC, PhUSE, and similar forums to exchange insights and maintain alignment with emerging regulatory requirements and industry innovations. Bachelor's Degree in Statistics, Mathematics, Computer science or any other scientific field. Master's degree preferred. Minimum of 5 years in pharmaceutical industry.
About the Role/Company
- GBDS focuses on delivering solutions that enhance efficiency and quality across clinical development activities
- GBDS has a data and analytics strategy that solutions must align with
- GBDS operates within the broader Global Drug Development organization
Key Responsibilities
- Support the framing, assessment, and prioritization of internal and external innovation initiatives in collaboration with stakeholders across GBDS
- Apply expertise in R—including Shiny dashboards and package development—to design and prototype advanced tools and applications to support analytics, automation, and decision-making across GBDS
- Leverage Python to support areas such as DevOps, data engineering, machine learning, or generative AI, where applicable
- Provide strategic input on project direction and contribute to the technical architecture of solutions, ensuring they are scalable, maintainable, and aligned with GBDS' data and analytics strategy
- Partner with GBDS teams to propose, develop, and implement innovative solutions that streamline process execution across biometrics and the broader Global Drug Development organization
- Ensure scientific validity and technical correctness of tools and platforms supporting clinical trial processes, ensuring fitness for regulatory submission and operational use
- Promote solution governance by aligning development with internal policies, stakeholder workflows, and regulatory expectations, including those from FDA, PMDA, and other authorities
- Serve as a departmental expert in CDISC standards, contributing to innovation in standards implementation for protocol development, statistical analysis, and reporting
- Foster a culture of continuous improvement and innovation, including support for the evaluation and integration of new technologies (e.g., automation tools, GenAI, metadata-driven workflows)
- Take ownership of cross-functional innovation efforts, from concept development through to implementation, with a strong bias toward rapid prototyping and scaling viable solutions
- Collaborate with internal teams (e.g., IT, Procurement) and external vendors to identify and prioritize new technical capabilities that advance GBDS' digital and data objectives
- Contribute to training, communications, and change management activities to promote adoption and user engagement for newly developed tools and platforms
- Maintain up-to-date knowledge of trends and best practices across data science, analytics, clinical technology, and regulatory science, and apply this knowledge to optimize internal practices
- Actively participate in external organizations such as CDISC, PhUSE, and similar forums to exchange insights and maintain alignment with emerging regulatory requirements and industry innovations
Required Qualifications
- Bachelor's Degree in Statistics, Mathematics, Computer Science, or any other scientific field
- Minimum of 5 years in the pharmaceutical industry
Preferred Qualifications
- Master's degree
- Familiarity with SAS for integration with legacy environments
Skills Required
- Expertise in R, including Shiny dashboards and package development
- Proficiency in Python for DevOps, data engineering, machine learning, or generative AI
- Strategic thinking and project direction
- Technical architecture design
- Knowledge of CDISC standards
- Ability to foster a culture of continuous improvement and innovation
- Strong communication and change management skills
- Up-to-date knowledge of trends and best practices in data science, analytics, clinical technology, and regulatory science
Locations
- Hyderabad TS, India
Salary
Estimated Salary Rangemedium confidence
1,500,000 - 3,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Expertise in R, including Shiny dashboards and package developmentintermediate
- Proficiency in Python for DevOps, data engineering, machine learning, or generative AIintermediate
- Strategic thinking and project directionintermediate
- Technical architecture designintermediate
- Knowledge of CDISC standardsintermediate
- Ability to foster a culture of continuous improvement and innovationintermediate
- Strong communication and change management skillsintermediate
- Up-to-date knowledge of trends and best practices in data science, analytics, clinical technology, and regulatory scienceintermediate
Required Qualifications
- Bachelor's Degree in Statistics, Mathematics, Computer Science, or any other scientific field (experience)
- Minimum of 5 years in the pharmaceutical industry (experience)
Preferred Qualifications
- Master's degree (experience)
- Familiarity with SAS for integration with legacy environments (experience)
Responsibilities
- Support the framing, assessment, and prioritization of internal and external innovation initiatives in collaboration with stakeholders across GBDS
- Apply expertise in R—including Shiny dashboards and package development—to design and prototype advanced tools and applications to support analytics, automation, and decision-making across GBDS
- Leverage Python to support areas such as DevOps, data engineering, machine learning, or generative AI, where applicable
- Provide strategic input on project direction and contribute to the technical architecture of solutions, ensuring they are scalable, maintainable, and aligned with GBDS' data and analytics strategy
- Partner with GBDS teams to propose, develop, and implement innovative solutions that streamline process execution across biometrics and the broader Global Drug Development organization
- Ensure scientific validity and technical correctness of tools and platforms supporting clinical trial processes, ensuring fitness for regulatory submission and operational use
- Promote solution governance by aligning development with internal policies, stakeholder workflows, and regulatory expectations, including those from FDA, PMDA, and other authorities
- Serve as a departmental expert in CDISC standards, contributing to innovation in standards implementation for protocol development, statistical analysis, and reporting
- Foster a culture of continuous improvement and innovation, including support for the evaluation and integration of new technologies (e.g., automation tools, GenAI, metadata-driven workflows)
- Take ownership of cross-functional innovation efforts, from concept development through to implementation, with a strong bias toward rapid prototyping and scaling viable solutions
- Collaborate with internal teams (e.g., IT, Procurement) and external vendors to identify and prioritize new technical capabilities that advance GBDS' digital and data objectives
- Contribute to training, communications, and change management activities to promote adoption and user engagement for newly developed tools and platforms
- Maintain up-to-date knowledge of trends and best practices across data science, analytics, clinical technology, and regulatory science, and apply this knowledge to optimize internal practices
- Actively participate in external organizations such as CDISC, PhUSE, and similar forums to exchange insights and maintain alignment with emerging regulatory requirements and industry innovations
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Manager, Innovation Strategy and Solutions
Bristol-Myers Squibb
Manager, Innovation Strategy and Solutions
Job Description
Support the framing, assessment, and prioritization of internal and external innovation initiatives in collaboration with stakeholders across GBDS, with a focus on delivering solutions that enhance efficiency and quality across clinical development activities. Apply expertise in R—including Shiny dashboards and package development—to design and prototype advanced tools and applications to support analytics, automation, and decision-making across GBDS. Leverage Python to support areas such as DevOps, data engineering, machine learning, or generative AI, where applicable. Familiarity with SAS is a plus for integration with legacy environments. Provide strategic input on project direction and contribute to the technical architecture of solutions, ensuring they are scalable, maintainable, and aligned with GBDS' data and analytics strategy. Partner with GBDS teams to propose, develop, and implement innovative solutions that streamline process execution across biometrics and the broader Global Drug Development organization. Ensure scientific validity and technical correctness of tools and platforms supporting clinical trial processes, ensuring fitness for regulatory submission and operational use. Promote solution governance by aligning development with internal policies, stakeholder workflows, and regulatory expectations, including those from FDA, PMDA, and other authorities. Serve as a departmental expert in CDISC standards, contributing to innovation in standards implementation for protocol development, statistical analysis, and reporting. Foster a culture of continuous improvement and innovation, including support for the evaluation and integration of new technologies (e.g., automation tools, GenAI, metadata-driven workflows). Take ownership of cross-functional innovation efforts, from concept development through to implementation, with a strong bias toward rapid prototyping and scaling viable solutions. Collaborate with internal teams (e.g., IT, Procurement) and external vendors to identify and prioritize new technical capabilities that advance GBDS' digital and data objectives. Contribute to training, communications, and change management activities to promote adoption and user engagement for newly developed tools and platforms. Maintain up-to-date knowledge of trends and best practices across data science, analytics, clinical technology, and regulatory science, and apply this knowledge to optimize internal practices. Actively participate in external organizations such as CDISC, PhUSE, and similar forums to exchange insights and maintain alignment with emerging regulatory requirements and industry innovations. Bachelor's Degree in Statistics, Mathematics, Computer science or any other scientific field. Master's degree preferred. Minimum of 5 years in pharmaceutical industry.
About the Role/Company
- GBDS focuses on delivering solutions that enhance efficiency and quality across clinical development activities
- GBDS has a data and analytics strategy that solutions must align with
- GBDS operates within the broader Global Drug Development organization
Key Responsibilities
- Support the framing, assessment, and prioritization of internal and external innovation initiatives in collaboration with stakeholders across GBDS
- Apply expertise in R—including Shiny dashboards and package development—to design and prototype advanced tools and applications to support analytics, automation, and decision-making across GBDS
- Leverage Python to support areas such as DevOps, data engineering, machine learning, or generative AI, where applicable
- Provide strategic input on project direction and contribute to the technical architecture of solutions, ensuring they are scalable, maintainable, and aligned with GBDS' data and analytics strategy
- Partner with GBDS teams to propose, develop, and implement innovative solutions that streamline process execution across biometrics and the broader Global Drug Development organization
- Ensure scientific validity and technical correctness of tools and platforms supporting clinical trial processes, ensuring fitness for regulatory submission and operational use
- Promote solution governance by aligning development with internal policies, stakeholder workflows, and regulatory expectations, including those from FDA, PMDA, and other authorities
- Serve as a departmental expert in CDISC standards, contributing to innovation in standards implementation for protocol development, statistical analysis, and reporting
- Foster a culture of continuous improvement and innovation, including support for the evaluation and integration of new technologies (e.g., automation tools, GenAI, metadata-driven workflows)
- Take ownership of cross-functional innovation efforts, from concept development through to implementation, with a strong bias toward rapid prototyping and scaling viable solutions
- Collaborate with internal teams (e.g., IT, Procurement) and external vendors to identify and prioritize new technical capabilities that advance GBDS' digital and data objectives
- Contribute to training, communications, and change management activities to promote adoption and user engagement for newly developed tools and platforms
- Maintain up-to-date knowledge of trends and best practices across data science, analytics, clinical technology, and regulatory science, and apply this knowledge to optimize internal practices
- Actively participate in external organizations such as CDISC, PhUSE, and similar forums to exchange insights and maintain alignment with emerging regulatory requirements and industry innovations
Required Qualifications
- Bachelor's Degree in Statistics, Mathematics, Computer Science, or any other scientific field
- Minimum of 5 years in the pharmaceutical industry
Preferred Qualifications
- Master's degree
- Familiarity with SAS for integration with legacy environments
Skills Required
- Expertise in R, including Shiny dashboards and package development
- Proficiency in Python for DevOps, data engineering, machine learning, or generative AI
- Strategic thinking and project direction
- Technical architecture design
- Knowledge of CDISC standards
- Ability to foster a culture of continuous improvement and innovation
- Strong communication and change management skills
- Up-to-date knowledge of trends and best practices in data science, analytics, clinical technology, and regulatory science
Locations
- Hyderabad TS, India
Salary
Estimated Salary Rangemedium confidence
1,500,000 - 3,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Expertise in R, including Shiny dashboards and package developmentintermediate
- Proficiency in Python for DevOps, data engineering, machine learning, or generative AIintermediate
- Strategic thinking and project directionintermediate
- Technical architecture designintermediate
- Knowledge of CDISC standardsintermediate
- Ability to foster a culture of continuous improvement and innovationintermediate
- Strong communication and change management skillsintermediate
- Up-to-date knowledge of trends and best practices in data science, analytics, clinical technology, and regulatory scienceintermediate
Required Qualifications
- Bachelor's Degree in Statistics, Mathematics, Computer Science, or any other scientific field (experience)
- Minimum of 5 years in the pharmaceutical industry (experience)
Preferred Qualifications
- Master's degree (experience)
- Familiarity with SAS for integration with legacy environments (experience)
Responsibilities
- Support the framing, assessment, and prioritization of internal and external innovation initiatives in collaboration with stakeholders across GBDS
- Apply expertise in R—including Shiny dashboards and package development—to design and prototype advanced tools and applications to support analytics, automation, and decision-making across GBDS
- Leverage Python to support areas such as DevOps, data engineering, machine learning, or generative AI, where applicable
- Provide strategic input on project direction and contribute to the technical architecture of solutions, ensuring they are scalable, maintainable, and aligned with GBDS' data and analytics strategy
- Partner with GBDS teams to propose, develop, and implement innovative solutions that streamline process execution across biometrics and the broader Global Drug Development organization
- Ensure scientific validity and technical correctness of tools and platforms supporting clinical trial processes, ensuring fitness for regulatory submission and operational use
- Promote solution governance by aligning development with internal policies, stakeholder workflows, and regulatory expectations, including those from FDA, PMDA, and other authorities
- Serve as a departmental expert in CDISC standards, contributing to innovation in standards implementation for protocol development, statistical analysis, and reporting
- Foster a culture of continuous improvement and innovation, including support for the evaluation and integration of new technologies (e.g., automation tools, GenAI, metadata-driven workflows)
- Take ownership of cross-functional innovation efforts, from concept development through to implementation, with a strong bias toward rapid prototyping and scaling viable solutions
- Collaborate with internal teams (e.g., IT, Procurement) and external vendors to identify and prioritize new technical capabilities that advance GBDS' digital and data objectives
- Contribute to training, communications, and change management activities to promote adoption and user engagement for newly developed tools and platforms
- Maintain up-to-date knowledge of trends and best practices across data science, analytics, clinical technology, and regulatory science, and apply this knowledge to optimize internal practices
- Actively participate in external organizations such as CDISC, PhUSE, and similar forums to exchange insights and maintain alignment with emerging regulatory requirements and industry innovations
Tags & Categories
Answer 10 quick questions to check your fit for Manager, Innovation Strategy and Solutions @ Bristol-Myers Squibb.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs