MDM Engineer, Pharmaceutical Industry

Job description

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 Master data management, Reference data management and data engineering in the pharmaceutical or life sciences industry.Two (2) years of experience in MDM platforms such as Informatica MDM, Reltio and Stibo.Two (2) years of experience in ETL processes and data integration pipelines.Two (2) years of experience in Relational databases including Oracle, PostgreSQL, SQL, and Python.Two (2) years of experience in Cloud technologies including AWS S3, Glue, Lambda, Redshift.Two (2) years of experience in Implementing regulatory requirements for pharmaceutical data, including GxP, 21 CFR Part 11, and IDMP.Two (2) years of experience in Data visualization and modelling using Tableau.Two (2) years of experience in Reference Data Management using Top braid.Benefits

Annual discretionary bonusMedical, pharmacy, dental, and vision careBMS Well-Being AccountBMS Living Life BetterEmployee Assistance Programs (EAP)401(k) planShort- and long-term disabilityLife insuranceAccident insuranceSupplemental health insuranceBusiness travel protectionPersonal liability protectionIdentity theft benefitLegal supportSurvivor supportPaid Time OffFlexible time off (unlimited, with manager approval)11 paid national holidays160 hours annual paid vacation for new hires with manager approval3 optional holidaysUnlimited paid sick timeUp to 2 paid volunteer days per yearSummer hours flexibilityLeaves of absence for medical, personal, parental, caregiver, bereavement, and military needsAnnual Global Shutdown between Christmas and New Years Day