Scientific Applications Analyst

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.

• 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.

If you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.

The Discovery IT team is seeking a detail-oriented and technically skilled Application and Data Analyst to enable cutting‑edge research through technology. This role serves as a critical link between scientific teams and IT, ensuring that laboratory and office application environments run smoothly and efficiently. The ideal candidate is a dynamic, creative, problem‑solver who can operate independently and collaborate closely with IT, business users (i.e. Scientists), and vendors.

This position complements a small, specialized team covering areas such as AI development support, ELN/LIMS systems, lab robotics, and project management, and will focus on application, workflow, and user support across the Discovery organization.

• The critical nature of these systems requires appropriate support to ensure a highly stable, secure, and reliable computing environment.
• Provide daily operations support for laboratory, office, and cloud applications, including vendor engagement, installation, documentation, and configuration - in accordance with IT Policies and Procedures. Validation may be required for GLP‑relevant systems.
• Support data workflows and integration between systems such as ELN/LIMS
  , lab robotics platforms, and AI‑enabled tools.
• Contribute to projects involving AI development support
  , automation, and digital lab initiatives.
• Facilitate onboarding and offboarding processes for lab and office systems and applications.
• Partner with scientists and technical staff to troubleshoot issues, document findings, and drive timely resolutions.
• Translate complex scientific and operational requirements into actionable technical specifications and data‑driven solutions.
• Provide user support on scientific software (e.g. Nextflow, Posit Workbench, CryoSPARC, Ascentos, Sciex
  
  OS, Visopharm, Prism).
• Collaborate with vendors, IT teams, and research groups to maintain and enhance workflows and data pipelines.
• Document processes, configurations, and best practices to ensure continuity and compliance, and enable transition of repetitive workflows to helpdesk and other support teams.
• Participate in cross‑functional initiatives to optimize research data systems, software integration, and user experience.

• Bachelor’s degree in Information Technology, Computer Science, or a scientific discipline; advanced degree preferred.
• Minimum 8 years of experience supporting IT systems within pharmaceutical office and lab environments.
• Comfortable engaging with scientists and technical teams to bridge gaps between research and technology.
• Proven experience with scientific applications (e.g. Nextflow, Posit Workbench, CryoSPARC, Ascentos, Sciex
  
  OS, Visopharm, Prism) and research workflows in preclinical settings.
• Working knowledge of Windows, Mac, Linux and AWS Cloud (e.g., S3, EC2, IAM, Lambda) environments.
• Experience in IT ticketing systems (Service Now preferred).
• Understanding of FAIR data principles, laboratory workflows, and data pipelines.
• Familiarity with cybersecurity, intellectual property protection, compliance standards, and lab network segmentation in…