Full-Time
Data Engineer
Posted on 7/15/2025
Lynx Analytics
51-200 employees
Graph analytics and predictive AI solutions
No salary listed
San Francisco, CA, USA
In Person
 Data & Analytics (1) |
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- Python (pytest, pre-commit, venv, etc.)
- Airflow, dbt, or other orchestration tool
- Apache Spark, PostgreSQL, BigQuery, or other SQL/NoSQL engines
- Docker, Docker Compose, Terraform or other IaC tools
- Linux OS
- One of major cloud platforms like Google Cloud Platform, Amazon Web Services, or Microsoft Azure
- Understand deeply the business problem that we are trying to solve by our analytical solutions
- Through continuous consultations with employees of our client, discover the client’s existing data sources that are relevant to the problem we try to solve
- Work with the client’s IT teams to define the technical architecture for the analytical solution that we are to deploy
- Implement the data ingestion subsystem: this is the system responsible for moving all the necessary data sources to a single location where the actual analysis will happen
- Implement the data analysis pipelines
- Integrate the results into business user interfaces developed by Lynx or pre-existing client software systems
- Prior experience in Generative Artificial Intelligence (ideally Retrieval-Augmented Generation) and data science / analytics
- Willingness to travel and work abroad
- CI/CD tools like GitHub Actions
- FastAPI or Flask for service endpoints
- Experience with network setup (DNS, TLS, SSH, IP routes, etc.)
- Generalist who thrives in ambiguity and loves figuring things out
- Enjoy breaking down big, vague, and unfamiliar problems into concrete actions
- Value pragmatism over perfection: MVPs, iterative delivery, and quick feedback loops
- DevOps responsibilities including setting up pipelines, fixing flaky builds, or tweaking a reverse proxy config
- Comfortable switching hats quickly—from setting up data pipelines and crawling websites to tuning SQL queries or debugging backend servers
- Passionate about learning and applying unfamiliar technologies and tools
- Get excited about opportunities to travel and work abroad
Lynx Analytics provides software and consulting services that use graph-based artificial intelligence to help businesses analyze complex relationships within large datasets. The technology works by using Apache Spark to process data in real-time, allowing users to visualize patterns and predict outcomes for tasks like fraud detection and customer retention. Unlike competitors that focus on standard data tables, this company specializes in graph theory to map how different data points connect to one another across entire networks. The company's goal is to help organizations in sectors like banking and telecommunications optimize their commercial strategies by uncovering hidden insights within their existing data.
Company Size
51-200
Company Stage
Early VC
Total Funding
$10M
Headquarters
Singapore, Singapore
Founded
2010
Simplify's Take
What believers are saying
- LynxKite 2000:MM scales on Nebius AI Cloud for Graph Neural Networks in healthcare modeling.
- Biophytis partnership advances AI for obesity and sarcopenia therapies since July 2025.
- Lumen deploys decision-support agents with citations for pharma strategic planning.
What critics are saying
- NVIDIA cuGraph commoditizes LynxKite, enabling pharma in-house workflows within 6-12 months.
- Open-source LynxKite GitHub lets competitors fork GCNs, eroding differentiation in 3-6 months.
- Databricks GraphStorm captures AstraZeneca deals, outperforming Lumen in 12-24 months.
What makes Lynx Analytics unique
- LynxKite 2000:MM integrates NVIDIA cuGraph and BioNeMo for GPU-optimized graph AI in drug discovery.
- Lumen Agentic AI framework powers IlluminAI at AstraZeneca for oncology forecast analytics.
- Graph RAG combines Graph AI with LLMs for precise life sciences customer segmentation.
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Benefits
Flexible Work Hours
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 5%2 year growth
↑ 1%Lynx Analytics introduces Lumen, an Agentic AI framework to improve decision-making in life sciences. LOS GATOS, Calif., Jan. 14, 2026 /PRNewswire/ - Lynx Analytics today announced Lumen, a specialized Agentic AI framework designed to help pharmaceutical and biotech organizations generate strategic, decision-ready insights from complex scientific and commercial information. Built specifically for life sciences workflows, Lumen enables companies to deploy AI agents across a wide range of real-world use cases - from rapidly distilling lengthy clinical or market research documents, to generating dynamic HCP personas and personalized engagement strategies, to powering natural-language analytics that explain drivers behind forecast shifts or market performance. The framework brings accumulated best practices from multiple Agentic AI deployments across global pharma companies. One of the first real-world applications built on Lumen is IlluminAI - a customized decision-support solution developed in collaboration with the International Oncology team at AstraZeneca. "The introduction of the IlluminAI assistant at AstraZeneca has streamlined how we approach brand launch planning. Our teams can ask natural-language questions about forecast drivers and receive insights grounded in patient forecast models and revenue data. IlluminAI is now embedded in planning cycles across International Markets. We look forward to continuing our partnership with Lynx Analytics to further develop IlluminAI." said Christos Georgiou, Oncology Launch & Business Excellence Director, International Markets at AstraZeneca. Ankit Agrawal, Director of Client Engagement at Lynx Analytics, added: "Lumen is the foundation for Lynx's next generation of Agentic AI in pharma, already deployed across priority commercial and medical use cases. At AstraZeneca, IlluminAI puts this into practice for the International Oncology team, where agents connect patient forecast models and revenue data to pinpoint the key drivers and assumptions behind each forecast, explained in simple, easy-to-understand language" Lumen enables decision-support agents such as campaign-planning copilots that forecast ROI and generate targeted content; patient-support agents that deliver compliant, 24/7 medical information; and clinical-trial intelligence agents that surface relevant insights and help teams monitor study challenges in real time. All insights include linked citations for transparency, giving teams audit-ready evidence behind each recommendation. Lumen is now available to pharmaceutical and life sciences organizations seeking to elevate strategic planning, accelerate analysis, and deploy responsible AI at scale. About Lynx Analytics Lynx Analytics is a global AI and data-science company specializing in life sciences applications, graph analytics, and Agentic AI systems. The company partners with leading pharmaceutical organizations to transform complex data into strategic advantage.
Biophytis SA, a pioneering force in the development of transformative therapies for obesity, sarcopenia, and longevity, today announced a strategic partnership with Lynx Analytics, a pioneer in artificial intelligence solutions for life sciences.
Lynx Analytics unveils LynxKite 2000:MM - The next generation of gpu-optimized Graph AI.
Lynx Analytics, a Singapore-based AI & analytics company, has been named one of the country & fastest-growing companies by Straits Times, a leading newspaper in Singapore.