Bristol Myers Squibb (BMS) aims to accelerate its ability to serve patients globally by unleashing the power of technology. The company seeks to be at the forefront of transforming medicine through computer and data science, AI, and other technologies to enhance scientific discovery, decision-making, and patient care. This role specifically addresses the need for advanced data science solutions within the Clinical Data Ecosystem to support Global Drug Development (GDD) IT.
Requirements
- Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically React, Python, advanced SQL, Domino, AWS, GitHub)
- Strong background in statistical analysis, machine learning, and predictive modelling techniques
- Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies
- Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps,Git) to Complex datasets is preferred
- Demonstrated ability to develop and implement predictive models and machine learning algorithms
- Experience working with complex datasets is highly desirable
- Experience with cloud storage and compute infrastructure (e.g., AWS, Azure) and knowledge of automation and monitoring tools.
Responsibilities
- Hands-on Development Data Scientist Analyst that will be expected to ideate, design, develop, model and deploy advanced solutions
- Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of Drug Development priorities, critical issues, and value levers
- Gather, pre-process and explore large-scale structured and unstructured data from diverse sources.
- Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations
- Conduct exploration data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems
- Ability to simplify complex technical and scientific concepts for non-technical stakeholders.
- Prior experience working in an Agile methodologies/Product based environment.
Other
- Collaborate with Global Drug Development (GDD), Global Biometric & Data Science (GBDS) & Enterprise Data and Analytics Platform team organizations, to understand business needs, influence, shape and adopt data and technology strategy.
- Agile problem-solving ability and desire to learn new things and continuously improve.
- Bachelor’s degree in computer science, Information Technology, Life Sciences, or a related field. Advanced degree preferred.
- Proven experience (typically 4+ years) in a data and analytics role, including direct development experience.
- Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.
