Data & Analytics - Search Specialist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

Search specialist - Job profile

The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities.

Key Responsibilities:

• Search Implementation:

  • Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning.

  • Work on the design, implementation, and optimization of Sinequa search solutions.

  • Configure, customize, and maintain Sinequa's search platform to meet organizational requirements.

  • Implement data ingestion procedures leveraging Sinequa connectors and APIs.

• Development of Search-Based Applications:

  • Design, develop, and deploy search-based applications that leverage the Sinequa platform.

  • Integrate search functionalities into existing and new applications to enhance user experience and information retrieval.

  • Collaborate with UI/UX designers to create engaging and efficient search interfaces.

  • Implement security best practices to protect sensitive data within search-based applications.

  • Test, debug, and document search-based applications to ensure high-quality deliverables.

• Optimization and Performance:

  • Monitor and optimize search performance, ensuring low latency and high accuracy of search results.

  • Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval.

  • Conduct regular performance analyses and make necessary adjustments to enhance search efficiency.

• Collaboration and Communication:

  • Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions.

  • Collaborate with data and content experts to ensure data quality and search index integrity.

  • Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders.

• User Experience Enhancement:

  • Design and implement user-friendly search interfaces and experiences.

  • Gather and analyze user feedback to continually improve search functionalities.

  • Ensure the search platform provides intuitive and relevant results to end-users.

• Data Management:

  • Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results.

  • Implement best practices for data governance and quality management in the context of search.

• Innovation and Continuous Improvement:

  • Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform.

  • Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities.

Qualifications:

• Solid understanding of search algorithms, information retrieval, and relevancy tuning.

• Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar.

• Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.)

• Strong analytical and problem-solving skills.

• Experience with data integration tools and techniques.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Background in natural language processing (NLP) or machine learning as applied to search is a plus.

• Familiarity with cloud platforms and services, particularly AWS is a plus.

• Knowledge of data governance and data quality best practices is a plus.

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.