Sr Semantic Engineer – Research Data and Analytics

Career CategoryInformation SystemsJob DescriptionJoin Amgen's Mission of Serving PatientsAt Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.Sr Semantic Engineer – Research Data and AnalyticsWhat you will doLet's do this. Let's change the world. In this vital role you will be part of Research's Semantic Graph Team is seeking a dedicated and skilled Semantic Data Engineer to build and optimize knowledge graph-based software and data resources. This role primarily focuses on working with technologies such as RDF, SPARQL, and Python. In addition, the position involves semantic data integration and cloud-based data engineering.The ideal candidate should possess experience in the pharmaceutical or biotech industry, demonstrate deep technical skills, and be proficient with big data technologies and demonstrate experience in semantic modeling. A deep understanding of data architecture and ETL processes is also essential for this role.In this role, you will be responsible for constructing semantic data pipelines, integrating both relational and graph-based data sources, ensuring seamless data interoperability, and leveraging cloud platforms to scale data solutions effectively.Roles & Responsibilities:Develop and maintain semantic data pipelines using Python, RDF, SPARQL, and linked data technologies.Develop and maintain semantic data models for biopharma scientific dataIntegrate relational databases (SQL, PostgreSQL, MySQL, Oracle, etc.) with semantic frameworks.Ensure interoperability across federated data sources, linking relational and graph-based data.Implement and optimize CI/CD pipelines using GitLab and AWS.Leverage cloud services (AWS Lambda, S3, Databricks, etc.) to support scalable knowledge graph solutions.Collaborate with global multi-functional teams, including research scientists, Data Architects, Business SMEs, Software Engineers, and Data Scientists to understand data requirements, design solutions, and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions.Collaborate with data scientists, engineers, and domain experts to improve research data accessibility.Adhere to standard processes for coding, testing, and designing reusable code/components.Explore new tools and technologies to improve ETL platform performance.Participate in sprint planning meetings and provide estimations on technical implementation.Maintain comprehensive documentation of processes, systems, and solutions.Harmonize research data to appropriate taxonomies, ontologies, and controlled vocabularies for context and reference knowledge.What we expect of youWe are all different, yet we all use our unique contributions to serve patients.Basic Qualifications and Experience:Doctorate Degree OR Master's degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field ORBachelor's degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field ORDiploma with years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related fieldPreferred Qualifications and Experience:6+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms)Functional Skills:Must-Have Skills:Advanced Semantic and Relational Data Skills: Proficiency in Python, RDF, SPARQL, Graph Databases (e.g. Allegrograph), SQL, relational databases, ETL pipelines, big data technologies (e.g. Databricks), semantic data standards (OWL, W3C, FAIR principles), ontology development and semantic modeling practices.Cloud and Automation Expertise: Good experience in using cloud platforms (preferably AWS) for data engineering, along with Python for automation, data federation techniques, and model-driven architecture for scalable solutions.Technical Problem-Solving: Excellent problem-solving skills with hands-on experience in test automation frameworks (pytest), scripting tasks, and handling large, complex datasets.Good-to-Have Skills:Experience in biotech/drug discovery data engineeringExperience applying knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domainsExperience with graph databases (Allegrograph, Neo4j, GraphDB, Amazon Neptune)Familiarity with Cypher, GraphQL, or other graph query languagesExperience with big data tools (e.g. Databricks)Experience in biomedical or life sciences research data managementSoft Skills:Excellent critical-thinking and problem-solving skillsGood communication and collaboration skillsDemonstrated awareness of how to function in a team settingDemonstrated presentation skillsWhat you can expect of usAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.Apply now and make a lasting impact with the Amgen team. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation..