Grad Intern – Knowledge Graph Applications

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $35 - $41 / hour

👨‍🎓 Internship

⚪️ Entry-level

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Design and develop a prototype knowledge graph representing longitudinal patient journeys • Apply graph algorithms to investigate epidemiology questions • Explore patient stratification based on treatment patterns and outcomes • Identify patient subgroups with similar clinical journeys • Use AI-assisted tools for knowledge graph design, data mapping, code development, documentation, and quality review with human oversight and validation • Evaluate treatment pathways, transitions in care, and relationships among treatments, clinical events, and outcomes • Compare knowledge graph methods with traditional analytical approaches • Deliver reusable analytical code, technical documentation, a working prototype or demonstration, and a final presentation with findings, organizational value, and recommendations • Collaborate with data scientists, epidemiologists, and cross-functional partners

🎯 Requirements

• Must be available to work a full-time schedule • Expected continued enrollment in an accredited college or university following the internship program / co-op • Student must be located in the United States for the duration of the internship program • Currently enrolled in a Master’s or PhD program in data science, computer science, artificial intelligence, biomedical informatics, biostatistics, epidemiology, computational biology, or a related quantitative discipline • Experience using Python, R, or a comparable programming language for data analysis, statistical modeling, machine learning, or AI application development • Foundational knowledge of artificial intelligence, graph theory, knowledge graphs, network analysis, graph databases, or graph-based machine learning • Ability to work with complex datasets and translate scientific or business questions into analytical approaches • Strong problem-solving, written communication, and presentation skills • Ability to work independently while collaborating effectively with data scientists, epidemiologists, and other cross-functional partners • 18 years or older • Graduated with a bachelor’s degree from an accredited college or university • Currently enrolled in the relevant MBA, Master’s, PharmD, or Ph.D. program from an accredited college or university and completion of the first year before the internship starts • Preferred: PhD or Master’s thesis work focused on graph analytics, knowledge graphs, artificial intelligence, network science, real-world data, or a closely related area • Preferred: Experience working with healthcare real-world data, such as administrative claims, electronic health records, registries, or other longitudinal patient-level datasets • Preferred: Familiarity with graph databases, query languages, or analytical frameworks such as Neo4j, Cypher, SPARQL, PyTorch Geometric, or comparable technologies • Preferred: Experience applying graph algorithms for community detection, clustering, similarity analysis, path analysis, link prediction, or patient stratification • Preferred: Experience using generative AI, large language models, machine learning, or AI-assisted development tools in an analytical or research workflow • Preferred: Understanding of epidemiology, patient journey analysis, treatment patterns, clinical outcomes, or real-world evidence research • Preferred: Experience developing reproducible analytical workflows and communicating technical results to scientific and nontechnical audiences • Candidates must be authorized to work in the U.S. for the duration of this program

🏖️ Benefits

• Build a network of colleagues that will endure and grow throughout your time with Amgen and beyond • Participate in executive and social networking events • Participate in community volunteer projects • Collaborative, innovative, and science-based culture • Support for professional and personal growth and well-being • Inclusive culture valuing diversity of thought and experience

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