Software Engineer II - AI Data Science

Key Skills

Aartificial intelligence, AWS, Data Analytics, Data science techniques, Data Visualization, Effective communication skills, Github, IT, Large Language Models - LLMs, Machine learning techniques, MLflow, Planning and organization, Python Programming, R Programming

Job Description

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us

Position Summary

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care. The AI Data Science Engineer will play a key role in strategic use of data and artificial intelligence to drive critical business impacts through the delivery of data-driven insights in the Global Market Access and HEOR IT function.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

Key Responsibilities

• Develop and deliver AI-powered solutions that will bring more medicines to more patients faster
• Develop ML pipelines that can evolve rapidly to incorporate new and/or more effective modeling approaches
• Partner with business and IT groups to scale and operationalize AI solutions to advance business goals and gain competitive advantage
• Engage a broader community to help educate the business on the practical application of AI to drive business value and widespread adoption
• Serve as a knowledge expert in foundation models and communicate insights, recommendations, value and impact to technical and non-technical stakeholders
• Stay up-to-date with emerging trends in data science and machine learning, and apply that knowledge to drive innovation within the organization

Qualifications & Experience

• Requires advanced knowledge applicable to a wide range of work in data & analytics and thorough knowledge of other functions, typically gained through a university degree and 2+ years of experience.
• Demonstrates knowledge in data & analytics skillsets such as data provisioning, data mining, data visualization, machine learning, code development in python/R, Github, cloud computing platforms like AWS, model governance with MLFlow or equivalent.
• Potential to lead initiatives related to implementation of new technologies, especially LLM-based solutions.
• Can package information and data that tells a story and provides insight to a broader problem. Presents and explains the implications of key information on issues important to the business unit.
• ​Frequently interacts with other internal and external stakeholders regarding operational decisions and business requirements. Analyzes the impact of conclusions and actions on people, technology, structure, and workflow across teams
• Gives others challenging opportunities to build strong capabilities for team. ​Helps drive a culture which motivates awareness and learning through creating space for conversations and debate.
• 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.​
• Stays current with emerging trends in specialty area. Identifies future state and dimensions of change (org, tech, cultural) to achieve. Creates transition plans for new processes, implements and monitor’s change. Ensures alignment of plans with the enterprise's strategic vision and translates the vision to connect to team's work
• Maintains a broad perspective when analyzing information and utilizes analytical thought while pushing others to do the same, considering long-term implications. Uses judgement and creativity in structuring work and finding solutions that are not obvious. Reviews and assess solutions proposed by others to determine the best path moving forward.

#LI-Hybrid

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.