Axle Informatics

Engineer

• Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
• Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
• Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
• Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
• Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
• Implement best practices for workflow versioning, containerization, testing, and documentation
• Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
• Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate

Bioinformatics Engineer

Backend Engineer

• Design, develop, and maintain high‑performance C++ software for scientific and computational workloads.
• Build scalable applications using modern C++ (17/20) with an emphasis on correctness, performance, and maintainability.
• Develop and extend scientific computing pipelines running in Linux and HPC environments.
• Optimize compute‑intensive code using profiling, benchmarking, and performance‑tuning techniques.
• Collaborate with senior engineers and researchers to translate computational requirements into robust software solutions.
• Work with containerized applications (Docker, Singularity) deployed in HPC and cloud environments.
• Integrate applications with HPC schedulers (e.g., Slurm) for batch and interactive workloads.
• Contribute to documentation, testing, and CI/CD workflows to support reliable software delivery.

Junior Software Engineer – Scientific Computing, C++

Data Engineer

• Build production-grade data systems by writing clean, modular, well-tested Python code for data pipelines and platform services.
• Design and maintain data models aligned with medallion architectures (bronze/silver/gold).
• Build and maintain data workflows using Dagster (preferred) or Airflow.
• Implement idempotent transformation logic using SQLMesh/Tobiko (preferred) or dbt.
• Build, debug, and optimize Docker images for local and production environments.
• Read and modify infrastructure-as-code using Terraform.
• Document data flows, system architecture, and operational procedures clearly.

Bioinformatics Engineer

Junior Software Engineer – Scientific Computing, C++

Senior Data Architect