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.

Position: Analytics Engineer II, Senior Specialist

Location: Summit, NJ

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.

Bristol Myers Squibb seeks a highly motivated Analytics Engineer to enable business relevant digital solutions in support of data science and analytics efforts. The Analytics Engineer will be responsible for executing an innovative and bold digital strategy to support BMS’s analytics capabilities in Cell Therapy. This individual will:

• Partner closely with process engineers, IT, analytics colleagues, and various additional technical functions
• Design and deliver digital solutions that streamline access to analytics & data
• Work with process SMEs to derive insight and value to improve manufacturing related process monitoring and improvement initiatives.

Key Responsibilities

• Independently develops code and analytical models to automate data transformation and analysis
• Performs data transformations, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases
• Responsible for ingestion, integration, and delivery of data across multiple platforms
• Ensures life cycle management of code is maintained through version control and associated repositories
• Develops high quality descriptive, analytical, statistical models, insights, patterns, and visualizations, that can be used to improve decision making in manufacturing operations.
• Responsible for documentation of all technical work both within and outside of formal document management systems
• Works to maintain and uphold data integrity and clean data principles
• Communicates with team members and stakeholders regularly to provide updates and collaborate on deliverables.
• Displays a high level of teamwork and collaboration both within and across functions
• Collaborates with stakeholders to develop unstructured business questions into achievable and impactful digital solutions.

Qualifications and Experience

• BS with 5+ years, MS with 1+ year in industry
• Experience building analytics and predictive models to answer key business questions
• Experience using git via the command line
• Background in process analytics using empirical and first principals models.
• Strong understanding of core statistical concepts to solve real world problems
• Intermediate proficiency (1+ years post academia experience as an independent contributor designing and delivering data solutions) in the following:
  • Proficient in writing and refactoring analytical SQL queries with experience using dbt to interact with SQL code. Experience interacting with various data warehouses and large-scale, complex datasets using ETL and BI tools and platforms.
  • Proficient in writing and developing analytical and machine learning models using python modules including pandas, numpy, scikitlearn, and tensorflow.
• Self-motivated to identify and propose novel methodologies that will drive increased efficiency
• Proficiency in mathematics with the skill to translate complex mathematical algorithms into usable computational methods
• Experience with data mining and analysis techniques across disparate data sources
• Experience working in LINUX/UNIX environments
• Experience interacting with PostgresSQL, Oracle, Impala Cloudera, Okera or similar databases
• Experience with JupyterLabs, Anaconda, and RStudio
• Experience developing visualizations using a variety of methods (plotly, matplotlib, seaborn)
• Experience working within Domino Data Lab projects
• Proficient in writing and developing analytical and machine learning models using python modules including pandas, numpy, scikitlearn, and tensorflow.
• Technical knowledge of performance tuning and query optimization across large data sets.
• Experience with data cataloguing and enablement through APIs
• Experience with a variety of computer science languages (python, SQL, C++, Java, html/css)
• Exposure to bioprocess engineering/cell therapy data
• Knowledge of GxP requirements (preferably related to data and code management)
• Dashboard development experience (Tableau, Spotfire, DASH)
• Experience working with the pharmaceutical industry
• Experience with OCR
• Experiencing developing and implementing MLOps pipelines.

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.

#LI-Hybrid

BMSCART

VETERAN

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.

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.

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