Scientific Computing Specialist

About Us

RCH Solutions is an established and rapidly growing global provider of computational, research, and data science expertise within Life Sciences and Healthcare. At RCH Solutions, 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.

• Embrace Excellence:
  We strive for best in class delivery of innovation and service.
• Be Accountable:
  Integrity, ownership and accountability are non negotiables.
• 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.

RCH Solutions is seeking an HPC Engineer to work closely with customer stakeholders, scientists, and IT professionals to deliver Compute at Scale and support our customers’ scientific initiatives. The objectives for this role center on developing, evolving, and administering HPC platforms along with support for scientific applications, workflows, and other related infrastructure both on‑premises and in the cloud. The ideal candidate has experience with Linux system administration, solution architecture and engineering (on‑prem and cloud based) and will play a key role in transforming how IT computing services are leveraged to support our client’s growth.

This role involves driving architecture, roadmaps, and execution of projects to establish and operate IT infrastructure best practices for customers.

Responsibilities include full stack support—design and evolution of platforms, application administration, supporting customer workflows, profiling and performance tuning, monitoring and maintenance of scoped systems, platform and systems administration, troubleshooting hardware, software, and networking related issues, solution architecting and hands‑on engineering (on‑prem + Cloud), and documentation. You will use your experience in these technologies to provide top‑of‑the‑line consulting services and recommendations to clients.

These will be performed as part of customer research or analytics initiatives in a consultative, advisory, or customer support manner.

• Collaborating with cross‑discipline team members and customers to deliver HPC and peripheral Compute at Scale services.
• Thorough understanding of related industry best practices.
• Supporting internal and customer architecture and design efforts.
• Supporting customers with their workflow pipelines (advisory and hands‑on).
• Comprehensively documenting new and existing computational assets.
• Maintaining flexibility to pivot as engagement scopes may evolve.
• Support for AWS & GCP cloud applications, migrations, and modernization.
• Cloud Ops / IaC for ongoing platform management.
• Setup and configuration of AWS & GCP Cloud infrastructure for new platform builds.
• Ensuring system compliance with company security standards and applicable regulatory requirements.
• Transition support for modernized services to operational teams.
• Provide engineering‑level troubleshooting and services restoration for operational issues as they arise on supported platforms.
• Provide training/mentorship for junior level team members.
• Escalation point on multiple engagements to ensure resolution.

• A bachelor’s or master’s degree in Computer Science or related field.
• 5+ years of experience administering HPC clusters and systems.
• Experience with SLURM and Grid Engine scheduling software preferred.
• 5+ years of professional experience in solution architecture or cloud infrastructure deployment and support.
• 5+ years professional experience developing or administering compute solutions for scientific/research IT domains, with a preference for life sciences.
• Experience with POSIT products (Package Manager, Connect, Workbench) either in an end‑user or administrator capacity.
• Experience developing scientific workflows on HPC systems…