MDM Engineer, Pharmaceutical Industry

About the role

Challenging. Meaningful. Life-changing. Join us at Bristol Myers Squibb, where you'll engage in uniquely interesting work that transforms lives and careers.

Responsibilities

• Contribute to the development, deployment, and maintenance of data science and machine learning pipelines, solutions, and products in support of commercialization strategies.
• Serve as a member of a hands-on team of data engineers and machine learning engineers.
• Collaborate cross-functionally with analytics and business stakeholders to pilot and deploy advanced data science solutions.
• Design, implement, and maintain reliable, scalable, and maintainable pipelines for data science products and machine learning applications.
• Establish best practices for machine learning engineering, data engineering, and machine learning operations.
• Develop and optimize tools and frameworks that improve the efficiency and effectiveness of data scientists.
• Partner with leadership to monitor emerging trends in data science and engineering technologies to enhance organizational capabilities.
• Translate models, pipelines, and technical solutions into clear terms for diverse stakeholders.
• Build and maintain data science-related applications using frameworks.
• Apply natural language processing techniques and advanced analytics methods to address complex business problems and contribute to the continuous evolution of the organization’s business intelligence and analytics capabilities.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Information Systems, Electronic Engineering, or a related field and five (5) years of progressive postbaccalaureate related work experience.
• One (1) year of experience in software testing.
• Two (2) years of experience in the following skills (which may be gained concurrently): Master data management, Reference data management and data engineering in the pharmaceutical or life sciences industry; MDM platforms such as Informatica MDM, Reltio and Stibo; ETL processes and data integration pipelines; Relational databases including Oracle, PostgreSQL, SQL, and Python; Cloud technologies including AWS S3, Glue, Lambda, Redshift; Implementing regulatory requirements for pharmaceutical data, including GxP, 21 CFR Part 11, and IDMP; Data visualization and modelling using Tableau; and Reference Data Management using Top braid.

Qualifications

• Telecommuting permitted up to 2 days per week.

Benefits

• Annual discretionary bonus.
• Healthcare, leave benefits, and retirement benefits.
• Pay-for-performance compensation philosophy.
• Various financial and work-life benefits including:
• 401(k) plan
• Short- and long-term disability
• Life insurance
• Accident insurance
• Supplemental health insurance
• Business travel protection
• Personal liability protection
• Identity theft benefit
• Legal support
• Survivor support

Pay

$154,627.00 - $184,627.00

Schedule

Flexible work schedule with telecommuting options up to 2 days per week.