Data Analytics & Digital Transformation Engineer - Combination Products (JP15359)

Job Title: Data Analytics & Digital Transformation Engineer - Combination Products (JP15359) Location: Cambridge MA (hybrid) Business Unit: Combination Product Data Stewardship Employment Type: Contract Duration: 12 months with likely extensions or conversion to perm Rate: $40-45/hour W2 with benefits Posting Date: 5/13/2026 Target Start Date: 6/1/2026 Note: Hybrid - 3-4 days onsite We are recruiting an Engineer to support a consulting engagement with a leading global biotechnology company. Job Description We are seeking a motivated and versatile Engineer to support the Combination Product Operations Digital and Data Strategy team. This one of a network of company digital teams focused on implementing state‑of‑the‑art digital capabilities transforming the business by improving efficiency and speed while reducing the cost of developing, manufacturing, and distributing combination products to stakeholders and patients. This role bridges data analytics and digital transformation, enabling both operational insights and the advancement of enterprise digital capabilities. Key Responsibilities Retrieve, clean, and preprocess data from multiple sources (databases, APIs, flat files). Perform exploratory data analysis to identify trends, gaps, and opportunities. Develop dashboards and visualizations using tools such as Spotfire, Power BI, or custom apps. Generate reports and communicate insights to both technical and non‑technical stakeholders. Support data integrity, quality, and accessibility across workflows. Support digital platform initiatives, including feature development, testing, and deployment. Assist in documenting data models, workflows, and system architectures. Contribute to the enablement of a digital thread across product development processes. Advocate for and apply FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Act as a data steward to ensure consistency and usability of data across systems. Support onboarding, training, and adoption of digital tools across business groups. Partner with multiple stakeholder groups to understand business needs and translate them into data and digital solutions. Identify process improvement opportunities to increase efficiency and reduce errors. Support digitalization of experimental and operational workflows. Work in a highly collaborative environment across technical and business teams. Top Must Have Skill Sets Data Engineering & Analytics Foundations Digital Systems and Data Modeling Awareness (Exposure to data models, Understanding of how data flows across systems, etc.) Cross‑Functional Collaboration & Digital Transformation Enablement Day to Day Responsibilities Documentation, testing, organization of timelines and management of deliverables, cross‑functional collaboration. Basic Qualifications Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 2+ years of experience in data analysis, digital systems, or related technical roles Required Skills: Experience with data processing and analysis using Python, R, or similar tools Familiarity with SQL and data querying Experience with data visualization tools (e.g., Tableau, Spotfire) Strong problem‑solving and analytical skills Ability to manage multiple priorities in a fast‑paced environment Strong communication skills and ability to work with diverse stakeholders Preferred Qualifications: Experience with PLM systems or other enterprise digital tools Understanding of data modeling and data architecture concepts Exposure to Agile methodologies or product team environments Experience supporting digital transformation or system adoption initiatives Familiarity with combination products, medical devices, or regulated environments Strong communication and cross‑functional collaboration skills – ability to distill, craft and present key messages relative to diverse audience requirements #J-18808-Ljbffr 3key Consulting, Inc.