HAYA Therapeutics · 17 hours ago
Senior Manager, Scientific Computing Engineer for Data Science & Computational Biology (Consultant)
San Diego, CA
Full-time
Hybrid
Senior Level
7+ years expHAYA Therapeutics is revolutionizing RNA-guided genome-targeting therapies for chronic diseases. They are seeking a senior-level Scientific Computing Engineer to design and operate infrastructure that supports their Data Science and R&D teams, focusing on optimizing scientific computing environments and enhancing operational efficiency.
BiotechnologyHealthcareLife ScienceGeneticsHealth CareMedicalTherapeutics
Responsibilities
Platform Architecture: Design and manage the evolution of HAYA’s scientific computing environment, orchestrating a hybrid architecture combining on-premise HPC servers with cloud-native solutions (AWS / GCP)
Compute Scalability: Manage and optimize on-premise and cloud-based CPU/GPU systems to support cost-effective execution of computational biology workloads
Hybrid Storage Strategy: Architect and operate storage solutions integrating on-premise distributed servers with cloud object storage (AWS S3 or compatible) to support large-scale scientific datasets
Data Monitoring: Implement monitoring and metrics to track R&D data growth and enable informed capacity and cost planning
Environment Standardization: Build and maintain containerized development environments (Docker, Singularity) to eliminate reproducibility and configuration issues
CI/CD & MLOps: Maintain and evolve GitLab CI/CD pipelines, supporting the transition of data science code from experimentation to production with reproducibility and version control
Automation & IaC: Replace manual operational tasks with Infrastructure as Code (Terraform / Ansible) and Python/Bash automation
Data Protection: Architect and operate robust backup and disaster recovery strategies tailored to large scientific datasets, with clear recovery objectives
Security & IAM: Manage identity and access controls following least-privilege principles, securing research data while preserving scientific velocity
System Resilience: Proactively monitor system health (e.g., Prometheus/Grafana, CloudWatch) and anticipate failures or bottlenecks before they impact research timelines
Vendor & Cost Management: Manage cloud and HPC vendors, monitor compute spend, and implement cost-optimization strategies (spot instances, lifecycle policies)
Documentation: Maintain clear technical documentation covering architecture, disaster recovery, and operational procedures
Qualification
Required
Strong Linux administration experience (RedHat / CentOS)
Advanced knowledge of AWS and GCP in hybrid environments (S3, EC2, IAM, Batch)
Experience managing GPU-accelerated infrastructure (NVIDIA / CUDA)
Proficiency with GitLab (administration and CI/CD), containerization, and IaC tools
Strong Python and Bash scripting skills
7+ years of experience in Systems Engineering, DevOps, or Scientific Computing
Ability to understand and support data science and computational biology workflows
Strong security, networking, and data-governance awareness
Clear communicator, able to explain infrastructure trade-offs to non-specialists
Autonomous, pragmatic, and delivery-focused
Company
HAYA Therapeutics
HAYA Therapeutics is a biotechnology company developing precision RNA-guided medicines that target the dark genome.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$1.11BKey Investors
InnosuisseEarlybird Venture Capital,Sofinnova PartnersEli Lilly
2025-09-01Grant
2025-05-08Series A· $65M
2024-09-04Undisclosed· $1B
Recent News
2025-12-29
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2025-11-08
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