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Job Description

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.


Senior Manager, Product Development Data Science & Engineering


Summary: Product Development (PD) at Bristol Myers Squibb is committed to accelerating CMC development to launch through strategic investments in novel development and manufacturing platforms, new development playbooks, and advancing innovation through modeling, AI/ML, and automation. These specific strategic investments are known as our Development Excellence strategy. As part of this organization, the Product Development Strategy group is accountable for developing a holistic digital and modeling strategy and its global integration and implementation.


We are seeking a highly motivated senior manager to join the Modeling and Digital Strategy group. The senior manager will guide and train less experienced staff and may take on a leadership role for a team of Data Scientists and Data Engineers in the BMS Hyderabad site focused on supporting the development, deployment, and sustainability of predictive models across a range of use cases focused on accelerating process development. The role will participate in highly visible and agile cross-functional teams with scope spanning the digital and modeling space. The right candidate should have a strong interest in building teams, solving scientific problems, and an eagerness to work closely with partners within PD such as drug substance, drug product, and analytical functions as well as with business partners such as IT.


Roles & Responsibilities
  • Screen, interview, onboard and manage employees to develop and run a high-performing, motivated team of data scientists and data engineers who demonstrate BMS values.
  • Establish, prioritize and manage the team's Sprint process for work allocation using agile methodology and ensure the work is well connected with the outcomes desired for the use cases.
  • Ensure team is following technical best practices in building, maintaining and enhancing scalable predictive models, including code version control, data pipeline management, deployment, and documentation.
  • Stay connected to internal and external new emerging technologies, and proactively make recommendations for their use where significant impact can be realized.
  • Establish close collaboration with local GPS and IT functional data science and data engineering experts.
  • Collaborate with USA and Europe based PD team members and stakeholders.
  • Experience and/or ability to learn various techniques that will be applied such as machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
  • Readily work hours that provide sufficient overlap with standard east coast US working hours.
Skills and Competencies
  • Strong project management skills to ensure timely delivery and successful implementation of use cases.
  • Excellent communication and interpersonal skills to effectively engage and build relationships with stakeholders at all levels, including technical and non-technical audiences.
  • Excellent leadership and management skills, with the ability to drive collaboration and deliver results in a dynamic environment.
  • Analytical mindset and problem-solving abilities to identify and address data product-related challenges and opportunities.
  • Mindset of continuous improvement and desire to learn new things.
  • Customer-oriented mindset.
  • Solid understanding of digital analytics tools and platforms.
Experience
  • Bachelor's or Master's degree in an analytical, engineering, or scientific discipline.
  • Proven experience (6+ years) working in a data and analytics role, including direct development experience.
  • Experience with computer science, information systems, computer engineering.
  • Experience with biopharma product development and/or manufacturing operations is a significant plus.
  • Experience managing/leading team(s) is a plus.
  • Experience operating in an agile environment (experience with tools like JIRA) is a plus.
  • Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau).
  • Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation and optimization models is a significant plus.

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 adastaffingsupport@bms.com. 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.


If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/


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



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