Scientific Computing Cloud Architect
RCH Solutions
Wayne, PA(remote)
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JOB DETAILS
JOB TYPE
Full-time
SKILLS
Access Control, Architectural Design, Artificial Intelligence (AI), Bash Scripting, Best Practices, Bioinformatics, Biology, Biotech and Pharmaceutical, Bridge Building, Cloud Architecture, Cloud Computing, Communication Skills, Computer Architecture, Computer Skills, Computer Systems, Consulting, Continuous Improvement, Cost Control, Cross-Functional, Customer Experience, Customer Relations, Data Analysis, Data Management, Data Science, Database Extract Transform and Load (ETL), Distributed Computing, Docker, Ecosystems, File Systems, GPU (Graphics Processing Unit), Genomics, GxP, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Hybrid Cloud, Identify Issues, Linux Administration, Mentoring, Metadata, Microsoft Windows Azure, Operational Support, Performance Tuning/Optimization, Python Programming/Scripting Language, Regulatory Compliance, Regulatory Requirements, Requirements Validation/Verification, Scientific Principles, Scripting (Scripting Languages), Service Delivery, Software Engineering, Strategic Planning, Support Documentation, System Architecture, Team Player, Technical Leadership, Technical Strategy, Technical/Engineering Design, Usability Engineering, Use Cases, Validation Documentation
LOCATION
Wayne, PA
POSTED
1 day ago
RCH Solutions is a rapidly growing global provider of computational science expertise within Life Sciences and Healthcare. At RCH, our team rallies around a culture crafted for learning and achieving. We’re relentless in our pursuit for innovation and demanding of ourselves to deliver a ground-breaking computing experience for our clients, so that they can deliver life-saving science to humanity.
Core Values
At RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.
Our Core Values:
- Embrace Excellence: We strive for best-in-class delivery of innovation and service.
- Be Accountable: Integrity, ownership and accountability are non-negotiable.
- Adventure Together: We are committed to fostering a culture that embraces continuous improvement.
- Succeed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.
- Boundaries and Balance: Work-life balance is a core facet of our culture.
Job Description
RCH Solutions is seeking an experienced Cloud Solution Architect to design and deliver scalable, secure, and compliant cloud solutions supporting life sciences, bioinformatics, and data-intensive workloads. This role will focus on architecting and supporting high-performance computing (HPC) environments, enterprise data platforms, and governed data ecosystems aligned with FAIR principles and regulatory requirements (GxP, GDPR, HIPAA).
The ideal candidate combines deep technical expertise in cloud-native HPC and data architectures with a strong understanding of life sciences workflows, data governance, and compliance frameworks.
While RCH Solutions Architects will oversee teams implementing scoped solutions and act as an escalation point for team members, they will also drive the hands-on implementation and deployment of solutions and troubleshooting efforts.
Core Responsibilities:
1. Solution Architecture & Strategy
- Provide technical leadership across solution lifecycle (design → implementation → optimization)
- Lead technical discovery sessions and design reviews
- Translate complex scientific and business requirements into scalable, production-ready solutions
- Define end-to-end cloud architecture strategies for life sciences clients, aligning with business and scientific objectives
- Lead architecture design for hybrid and cloud-native HPC platforms
- Act as a trusted advisor, guiding clients through architecture decisions and industry best practices
2. HPC & Accelerated Computing Platforms - Architect and deploy HPC environments
- Design GPU-enabled architectures
- Optimize for performance, scalability, and cost efficiency across distributed compute systems
- Architect modern data platforms to support scientific and operational workloads
- Design and implement:
- Data ingestion frameworks (ETL/ELT, streaming pipelines)
- Metadata and lineage management solutions
- Align data platforms to FAIR principles for scientific data usability and reproducibility
- Enable downstream use cases including analytics, AI/ML, and data science
- Design compliant architectures aligned with:
- GxP validation frameworks
- HIPAA data protection requirements
- GDPR privacy and data handling guidelines
- Implement enterprise-grade:
- Access controls and IAM strategies
- Data encryption, auditing, and traceability
- Support documentation and validation requirements for regulated workloads
- Act as a trusted advisor to clients
- Facilitate architecture workshops, design reviews, and technical discovery sessions
- Bridge business, scientific, and engineering teams to ensure aligned outcomes
- Provide hands-on guidance during POCs, migrations, and production deployments
- Contribute to solution proposals, roadmaps, and technical strategy development
6. Engineering Enablement & Best Practices - Promote automation and infrastructure-as-code practices (Terraform, Ansible)
- Encourage best practices for:
- Performance optimization
- Cost management
- Security and governance
- Mentor engineering teams and support capability development
Essential Qualifications:
- 10–12+ years of experience in cloud architecture, infrastructure, or platform engineering
- Cloud Professional Certification(s)
- Proven expertise in:
- HPC administration (Slurm or similar)
- GPU-enabled computing environments
- Linux system architecture and administration
- Strong experience designing enterprise data platforms and data pipelines
- Knowledge of:
- Data governance, metadata management, and data lifecycle frameworks
- Security and compliance standards (GxP, HIPAA, GDPR)
- Experience working in client-facing or consulting environments
- Excellent communication and cross-functional collaboration skills
- Familiarity with:
- Bioinformatics workflows (e.g., genomics pipelines)
- Scientific workflow orchestration tools
- Experience with:
- Containerization (Docker) and orchestration (Kubernetes)
- Distributed storage systems and high-performance file systems
- Azure CycleCloud or equivalent HPC orchestration platforms
- Programming/scripting: Python, Bash, or similar
Preferred Qualifications:
- Experience in life sciences, biotech, or healthcare data environments
Great talent should benefit from a great work environment. If you join our team, you’ll have access to:
- A competitive salary and bonus package based on experience.
- Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
- Company-provided Life and Long-Term Disability Insurance.
- Company-sponsored 401(k) Plan.
- Team-focused culture and unlimited opportunity for advancement.
**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.
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