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
**Manager, Data Integration, Research IT Data Engineering**
The role of Manager in Scientific Data Engineering Research IT – Data Integration, is accountable for the analysis, design, development, provisioning, and support of data integration technologies & processes to provision upstream and downstream data products to Research scientists. This position will ensure that scientific data from disparate sources is integrated following standard integration patterns using APIs, ETLs and other data integration technologies. This role will work in partnership with a broad range of partners in IT and in Research, including IT Business Partners, Product Teams, software development teams, and vendors to deliver innovative data capabilities while ensuring adherence to data architecture standards and best practices.
**Key Responsibilities**
+ Work as a member of the Data Integration team, dedicated to delivering high-quality data sets for use in operations applications and analytics platforms, to support and accelerate the lifecycle of data from the laboratory to analytics
+ Contribute to the design, development, and support of Research data integration patterns and processes to drive for complexity reduction and simplification of data flows
+ Contribute to the provisioning of data services and API reference capability blueprints across core platforms
+ Build and share knowledge of APIs and underlying logical and physical data models across core platforms
+ Work with upstream and downstream SMEs to understand requirements and identify integration options
+ Document information flows and technical specifications in compliance with integration patterns
+ Work with internal partners and vendors on the design, development and continuous improvement of high performing and secure APIs
+ Contribute to the enablement of scalable and efficient data integration across scientific domains
+ Provide understanding of scientific data types, data ingestion and loading patterns, data transformation & transport options
**Qualifications & Experience**
+ Minimum of a bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or equivalent experience. Alternatively, a degree in a life science discipline with deep computer science or information systems expertise
+ 4+ years’ experience in designing, implementing, and/or supporting technical capabilities including integration platforms, data pipelines, information systems, digital solutions, and information management solutions in pharmaceutical/scientific/R&D sectors
+ Experience integrating structured, semi-structured, and unstructured data in on-premises or cloud RDBMS, No-SQL DBs, and cloud storage services like Amazon S3
+ Experience or knowledge in designing and developing data ingestion, integration, and virtualization platforms
+ Hands-on experience with data engineering tools, and languages, including for example RESTful API, GraphQL API, Spark, Python, Shell scripts, AWS Data Engineering solutions, modern data and web services, AWS DMS, SNS, Lambda, EventBridge, Kinesis etc.
+ Experience using source control systems and deploying in AWS infrastructure and CloudFormation
+ Knowledge or exposure to R&D data types and data flows; data conversions, and data migrations
+ Some exposure to Taxonomy and Ontology development and management, data catalog, data governance and data quality a plus
+ Proven ability to work as a team player with strong collaboration skills
The starting compensation for this job is a range from $94,000 – $118,000, plus incentive cash and stock opportunities (based on eligibility).
The starting pay rate takes into account characteristics of the job, such as required skills and the geographic location where work is performed.
Final, individual compensation is decided commensurate with demonstrated experience.
For more on benefits, please visit our BMS Careers Site ([ Link removed ] – Click here to apply to Manager, Data Integration, Research IT Data Engineering . Eligibility for specific benefits listed therein may vary based on job and location.
#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.
**COVID-19 Information**
To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. This requirement is also subject to discussions with collective bargaining representatives in the U.S.
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 address blocked ] – Click here to apply to Manager, Data Integration, Research IT Data Engineering . Visit careers.bms.com/ ([ Link removed ] – Click here to apply to Manager, Data Integration, Research IT Data Engineering eeo-accessibility to access our complete Equal Employment Opportunity statement.
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.
**Company:** Bristol Myers Squibb
**Req Number:** R1569205
**Updated:** 2023-05-14 02:47:15.503 UTC
**Location:** Princeton,New Jersey
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.