Data Innovation Specialist (RWD)
$97,900–$181,700 year
On-siteSouth San Francisco, California, United States
Job Summary
Prototype, validate, and scale advanced AI capabilities, focusing heavily on multi-agent development and orchestration architectures to unlock complex use cases across product development. Support robust data engineering activities to design, optimize, and streamline data workflows that integrate unstructured, multi-modal, and unconventional data sources. Collaborate with scientists, engineers, and product teams to pilot data innovations, integrating advanced engineering pipelines and multi-agent frameworks into broader clinical development and data science workflows. Enable the development of low-/no-code analytics platforms to democratize multi-modal data access and establish frameworks for the scalable evaluation, productization, and reuse of experimental data approaches. Serve as an innovation methodology partner, guiding peers through new data modalities while mentoring junior team members on cutting-edge techniques, data tools, and agent architectures. Proactively identify innovation areas via research while ensuring all engineering and AI frameworks maintain absolute compliance with data privacy and security regulations like HIPAA and GDPR.
Required Qualifications
- Bachelor's or Master's degree in Data Science, Informatics, Life Sciences, or a related technical field
- Minimum of 2-4 years of experience working on data-related or innovation-support projects, or an advanced degree with 0-2 years of equivalent work experience
- Basic familiarity with scripting languages (e.g., Python or R) and version control tools (e.g., Git)
- Capacity for independent thinking and ability to make decisions based upon sound principles
- Excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain
- Excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language
- Ability to summarize results for both technical and non-technical audiences
- This position is based in South San Francisco, CA and relocation benefits are not available for this posting
Desired Qualifications
- Exposure to real-world data or research informatics in a biomedical setting
- Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI
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