Redica Systems
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Information Technology • Machine Learning • Analytics
Manage strategic enterprise accounts, develop quarterly account plans, lead executive business reviews, and identify retention, renewal, adoption, and expansion opportunities. Build relationships across complex stakeholder groups, support new business pursuits, coordinate with Sales and Customer Success, maintain forecasts and account records, and use AI tools for account research and opportunity identification. The role requires enterprise account management experience, commercial acumen, strong communication skills, and exposure to life sciences quality and regulatory domains.
Information Technology • Machine Learning • Analytics
Develops customer-facing reports and dashboards using regulatory intelligence data. Translates customer requests into scoped queries, extracts and validates data, builds visualizations and executive reports, performs QA, and manages delivery. The role requires interpreting FDA enforcement actions, Form 483 observations, warning letters, and inspection records while ensuring accurate, polished outputs. It also involves using BI tools, SQL, and AI-assisted workflows to support data exploration and reporting.
Information Technology • Machine Learning • Analytics
Design, build, optimize, and maintain scalable data pipelines, APIs, and microservices for high-volume regulatory datasets. Ensure data quality through automated testing, monitoring, and validation; contribute to platform architecture; integrate with NLP/ML services and ELK; support production deployments and incidents; and collaborate with Engineering and Product teams. Mentor engineers, participate in code reviews, and provide technical guidance.
Information Technology • Machine Learning • Analytics
Develop and maintain scalable AI and ML architectures for a life sciences regulatory intelligence platform. Lead technical decisions, integrate LLM services and microservices, build conversational and agentic systems, manage data stores and databases, support production delivery, and collaborate in an Agile Scrum environment. The role requires hands-on Python development, generative AI deployment, cloud architecture, vector and graph databases, hybrid search, and backend API development.
