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Genestack Tech Stack
Multi-omics data management platform for life-science R&D
Genestack builds data infrastructure for pharma, biotech, and research organizations working with complex biological datasets. The stack—Python, R, Plotly, Flask, Kubernetes, ClickHouse—reflects a data-first engineering approach, with active work on omics pipelines, DSL design, and AI/ML integration. The company is tackling fundamental infrastructure problems: organizing multi-omics investigations, reducing latency, and integrating external data sources at scale.
Tech Stack 35 technologies
Core StackPython AWS Flask Java Kotlin Grafana GitHub Kubernetes Nginx Playwright pandas Docker ClickHouse MySQL R Dash Shiny Plotly matplotlib RNA-seq Nextflow GCP Azure Kibana Jira Service Management Git SQL pytest requests TeamCity+5 more
What Genestack Is Building
◆Challenges
- Organizing omics data
- Integrating external systems
- Building bioinformatics pipelines
- Optimizing data storage throughput
- Reducing system latency
- Managing tech debt
- Computational challenges of bioinformatics
- Complex biological data models
- Research-heavy problems
▲Active Projects
- Omics data ingestion and transformation pipeline
- Integration between platform and external systems
- Custom analytical and visualization tools
- Ai/ml pipeline integration
- Api infrastructure for ai workloads
- Architectural evolution to reduce tech debt
- Core backend services of a cloud-based knowledge platform
- Query engine for dsl execution
- Domain-specific language design
Hiring Activity
Steady10 roles · 4 in 30d
Department
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