The Senior Scientist Graphics/Visualization Tools will play a key role in enhancing the graphics, visualizations and overall experience of data submitted to a leading platform that is part of a global network for priority pathogen genome and metadata sharing, serving over 60,000 registered users. This role focuses on delivering tools for users to analyze and visualize pathogen genomic data, contributing directly to global public health efforts.

The candidate will work across multidisciplinary teams to support the development, customization, and integration of data visualization platforms, trackers, and reports. The role is essential to enabling scientists, policymakers, and public health professionals to derive insights from genomic data related to priority and emerging pathogens.

Job Responsibilities

• Lead the development and refinement of interactive dashboards, trackers, and graphical reports to support real-time analysis of genomic data.
• Enhance the UI/UX of visualization tools to ensure accessibility, responsiveness, and clarity across devices and user groups.
• Contribute to the maintenance, scalability, and interoperability of tools, ensuring alignment with evolving scientific and user needs.
• Collaborate with bioinformatics, software engineering, epidemiology, and curation teams to integrate data from multiple sources into cohesive, user-friendly platforms.
• Implement visualization pipelines that support outbreak monitoring, variant tracking, genomic epidemiology, and public health surveillance.
• Incorporate epidemiological indicators and metadata layers (e.g., case counts, geospatial data, lineage dynamics) into visualization platforms to contextualize genomic data.
• Monitor tool performance and engage with users to gather feedback for continuous improvement.
• Document workflows, usage guidelines, and technical specifications for internal and external users.
• Stay current with trends in scientific visualization, genomic epidemiology, UI/UX design, and data communication.

Job Requirements

• PhD or Master's degree in Computer Science, Bioinformatics, Data Visualization, Epidemiology, or a related field, with experience in scientific visualization or user interface development.
• At least 5 years of relevant experience.
• Strong portfolio of past work in building visual analytics tools, dashboards, or trackers for biological, epidemiological, or public health data.
• Proficiency in modern web technologies (e.g., JavaScript, D3.js, React) and interactive graphics frameworks.
• Experience with data visualization libraries (e.g., Plotly, Chart.js, ggplot2, Matplotlib, Seaborn).
• Familiarity with bioinformatics data formats, genomic databases, and epidemiological data structures is highly desirable.
• Understanding of genomic surveillance workflows, including outbreak monitoring and integration of metadata for epidemiological interpretation is highly desirable.
• Experience in integrating backend systems with frontend applications to support dynamic data updates.
• Knowledge of UX/UI best practices and a strong user-focused mindset.
• Excellent communication skills to interact with multidisciplinary teams and translate scientific requirements into visual tools.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.