Amgen is seeking an experienced Engineering Manager to lead our Search and Knowledge Discovery team. This leader will drive the development of advanced search capabilities across scientific, clinical, and enterprise data, enabling researchers, clinicians, and business teams to surface critical insights efficiently. The role blends deep technical leadership, people management, and collaboration across RD, data science, and IT organizations.
- Oversee the design and development of a modern, cloud-native data platform (e.g., using AWS/GCP/Azure, Snowflake, Databricks).
- Oversee the design and implementation of scalable search solutions across biomedical literature, clinical trial data and internal knowledge repositories.
- Drive improvements in ranking, query understanding, entity extraction, and semantic search tailored to biomedical and life sciences content.
- Integrate AI/ML/NLP techniques for biomedical ontologies, knowledge graphs, and semantic enrichment.
- Ensure robust data pipelines, data lakes, and real-time streaming systems are in place for research, commercial, and clinical data.
- Partner with research scientists, clinical teams, data science, and IT stakeholders to define requirements and deliver impactful search solutions.
- Collaborate with data governance and compliance teams to ensure search systems adhere to healthcare regulations (HIPAA, GxP, FAIR data principles).
- Work closely with product managers and UX teams to ensure intuitive, high-value search experiences.
- Implement data security best practices across platform layers.
- Partner with data governance teams to enforce metadata management, lineage tracking, and data access controls.
- Define and execute a roadmap for next-generation biomedical search platforms, aligned with Amgen s RD and business priorities.
- Evaluate and integrate emerging technologies in NLP, generative AI, and biomedical information retrieval.
- Ensure platforms are scalable, secure, and optimized for both internal enterprise users and external collaborations
- Lead, mentor, and grow a team of software and data engineers focused on developing scalable, secure data infrastructure and working on pharma-specific digital solutions.
- Ensure high code quality, secure software practices, and robust CI/CD pipelines.
- Drive best practices in software engineering, DevOps, and agile development.
- Promote a culture of collaboration, continuous improvement, and accountability.
- Oversee the full software development lifecycle (SDLC), ensuring compliance with GxP, 21 CFR Part 11, and other regulatory standards.
- Lead and mentor a team of engineers specializing in search, information retrieval, and knowledge discovery.
- Foster a culture of technical excellence, collaboration, and innovation.
- Support career growth and continuous learning for team members
Basic Qualifications:
- masters degree in in Computer Science, Software Engineering, or a related technical field with 8-13 years of software development experience OR,
- bachelors degree in Computer Science, Software Engineering, or a related technical field with 9-14 years of software development experience
- 8+ years of experience in software engineering, with 2 3 years in a leadership or managerial role.
- Strong expertise in search technologies (Elasticsearch, Solr, Lucene, Vespa, or similar).
- Experience with NLP and ML frameworks
- Strong background in data platform technologies (e.g., Spark, Kafka, Snowflake, Delta Lake, Hadoop , datbroicks , MongoDb , , DynamoDb , S3 Buckets).
- Experience with cloud infrastructure (AWS, Azure, or GCP), CI/CD, and containerization (Docker, Kubernetes)
- Knowledge of distributed systems and large-scale data platforms (Spark, Hadoop, or cloud-native equivalents).
- Strong programming skills (Python, Java, or Scala).
- Strong understanding of software development principles, cloud platforms (AWS/Azure/GCP), and modern tech stacks (e.g., Java, Python, Angular, React).
- Excellent communication, leadership, and problem-solving skills
- Hands on experience on data platform, software programming languages
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
- Proven ability to lead high-performing teams.
- Strong communication and stakeholder engagement skills.
- Ability to align technical execution with strategic business and scientific objectives.
Preferred Qualifications:
- Experienced with API integration, serverless, microservices architecture.
- Experienced with Java, Python, React,Scala
- Experience with design patterns, data structures
- Experienced with AWS /Azure Platform, Building an deploying the code
- Experience in Agile software development methodologies
- Experience in End to End testing as part of Test Driven Development
Good to Have Skills
- Willingness to work on AI Full stack Applications
- Experience working in regulated industries (ideally pharmaceutical, biotech, or healthcare).
- Work at the intersection of AI, search, and life sciences innovation
Soft Skills:
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills.
- Ability to work effectively with global, remote teams.
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Strong presentation and public speaking skills.
