Senior Data Scientist – AI Data Science

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

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.

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Position: QBID 4766 – Senior Data Scientist, AI Data ScienceLocation: Hyderabad

EG 100 – Senior Data Scientist

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.     

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 4+ years of experience.
• Demonstrates knowledge in data & analytics skillsets such as data provisioning, data mining, data visualization, machine learning, NLP, 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.

Required Knowledge and Skills

• Developing and deploying generative AI solutions.
• Programming in Python and hands-on experience with frameworks such as Pytorch or Tensorflow.
• Prompt engineering and vector databases.
• Work with unstructured and semi-structured data.
• Fine-tuning deep learning models.
• Familiarity with a cloud environment (AWS/GCP/Azure).
• MLOps principles and model development lifecycle.
• Expert in ML deployment in GPT-4 applications

Desirable Experience:

• Building RAG pipelines, chat applications and implementing AI agents.
• Frameworks such as LlamaIndex and LangChain.
• Leveraging Hugging Face models.
• Familiarity with vision models.

Why You Should Apply

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues.

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.

Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or any part of the recruitment process direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

#HYDIT #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

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.