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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 .
Summary of Research Data Ecosystem Project
BMS (Bristol Myers Squibb)' mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases. 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. BMS Research IT is investing in a step-change in our ability to leverage data, knowledge, and prediction to find new high quality development candidates. This major undertaking will result in a unified Research Data Ecosystem that enables BMS' scientists, engineers, and decision-makers to embrace predictive AI/ML and data-driven business outcomes to improve quality, speed, and efficiency in discovering new medicines.
The Data Ecosystem initiative will build a next-generation, business-driven, and self serve data experience to provide a best-in-class data-centric environment for accelerating our predictive capabilities, Insilco research, and discovery insights. This effort will aggressively engineer our data at scale, creating numerous functional and operational data products acting as a single unified asset to unlock the value of our unique collection of data and predictions in real time.
The Data Ecosystem initiative will bifurcate across small-molecule and large molecule modalities, while maintaining cross-domain alignment.
The LARGE MOLECULE Data Ecosystem effort is seeking an IT Data Engineer to play a crucial role in data product and R&D data ecosystem development, bridging the gap between business stakeholders and technical teams.
This autonomous role will enable the project through:
• Data & Process Mapping: Understand the workflows, processes, and datasets involved in the various business processes and their evolution in a data-centric environment. The Analyst will document data pipelines from the business processes needed to enable computational scientists & data scientists. Conduct interviews and analysis to elicit and document clear and comprehensive functional and non-functional requirements. This includes clear mapping of business rules, security, and data governance needs of each data product Owner & Producer.
• Data Analysis and Modeling: Collaborate with information modelers and domain experts to understand data requirements, data sources, and data processing needs. Facilitate the creation of data models, data mapping, and data transformation specifications to ensure data integrity, quality, and availability. Translate business needs into comprehensive System to Target Mappings (STTM) for each data product - connecting the business insight & modeling needs to the specific data elements in and across systems and data sources. Furthermore, identify necessary process & system remediations to ensure successful data capture for robust data products.
• Solution Design: Collaborate with digital capability managers, architects, and data engineers to ensure successful development of effective, usable, and trustworthy data products.
• Maintain Agile & Growth Mindset: Support agile approaches and participate in lessons learned sessions and provide feedback to improve future data product development processes. Stay updated with industry trends, emerging technologies, and best practices related to data product development and analysis.
Qualifications & Experience:
• Requires thorough knowledge of the principles and concepts of a discipline and developed knowledge of other related disciplines, typically gained through a university degree (preferred) and 4-6 years of experience. Bachelor's degree in computer science, Software Engineering, or a related field (preferred); or equivalent work experience. Master or other advanced degree is a plus.
• Strong Biologics domain knowledge and familiarity with the drug discovery proc
Location: Blairstown, NJ
Posted: Oct. 7, 2024, 9:35 a.m.
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