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Job DescriptionBusiness Information Management (BIM) Associate Positions • Are you looking to get hands-on experience designing data ecosystems, building insightful dashboards, and implementing AI solutions?, • Do you want to develop data and AI strategies for the Life Science industry, impacting millions of lives?, • Is working with some of the brightest minds in the data management and analytics industry a goal?If you answer yes to any of these questions, read on and learn about Axtria's BIM Opportunities Why Axtria? Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ, with offices in Boston and Chicago. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth. What's in it for you? Growth! Advancement of your technical and AI skills. A high performance culture of doing the RIGHT thing. Business Information Management Associates use cloud technology and AI to ingest, integrate, and process data to build advanced data platforms and analytical ecosystems for our clients. You'll work with our cutting-edge platforms like Axtria DataMax™, InsightsIQ™, SalesIQ™, and MarketingIQ™ . Outputs include AI-enhanced data warehouses, data lakes, and actionable insights across client's data ecosystems. Simply put, our "Data Engineers" build and distribute intelligent data solutions for our clients in the Life Science Industry. Potential Responsibilities may include (but not limited to) any of the following activities: • Build and implement AI/ML models within data pipelines and analytical ecosystems, • Evaluate AI solutions for data management challenges, assessing technical feasibility and business value, • Understand AI limitations and implementation risks to ensure reliable and responsible AI deployment, • Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to ensure AI-enhanced data assets are available, accessible, and reliable, • Hands-on data engineering with AI integration, data processing, ETL technologies using tools/frameworks such as Apache Spark, Apache Airflow, and ML pipelines, • Supporting Enterprise Data Management with AI capabilities, including automated Data Quality, Master Data Management, and intelligent Data Governance, • Integrate GenAI capabilities into data platforms for automated reporting and intelligent data discoveryAbout You, • Working towards a Masters with preference given to those studying Management Information Systems, Business Analytics, Computer Science, Data Science, Economics, Math, Stats, or Operations Research, • AI/ML Knowledge: Understanding of machine learning concepts and their integration with data platforms, • Programming Skills: Experience or strong foundation in Cloud Technology, SQL, Python, • AI Tools: Familiarity with AI/ML frameworks and their application in data engineering environments preferred, • Visualization: Experience with Tableau, Power BI and understanding of AI-enhanced dashboard development, • Must have strong communication skills, comfortable presenting AI and data concepts to both technical and non-technical audiences, • Problem-solving mindset: Obsessed with working through and solving complex data and AI challenges. Adaptable and innovative., • Dedicated team player who enjoys collaboration with the primary goal of "getting it done", • Graduating between December 2025 and June 2026 Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $70,000 to $85,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. Powered by JazzHR HzOhA4teq9