Solutions Architect

Mar 17, 2023

Mercy BioAnalytics, Inc. is a pre-commercial biotechnology company committed to reducing suffering and saving lives through the early detection of cancer. We are looking for a passionate individual to join our mission by supporting, maintaining, and creating systems to enhance the day-to-day operations of our scientists both in the lab and in the realm of data science.

This individual will be a cross-functional expert with a deep knowledge of technological systems and data pipelining. The successful candidate will apply their skills, and domain expertise to enable technological solutions in alignment with business strategy and organizational goals.

Candidates for this position must enjoy working for a fast-paced, cutting-edge company and demonstrate exemplary technical capabilities and a passion for contributing to our life-saving mission.


  • Develop an in-depth knowledge of the Mercy LIMS system, and act as a liaison between users and the continuous development of the LIMS system. This role will support the JIRA workflow management portion of LIMS and lead the Labguru implementation of material management.
  • Write and review code related to the LIMS back-end when needed.
  • Aid in the development and improvement of our Knowledge System and its integration with other internal and external systems, enabling the development of self-service portals for experimental plate map design and lab scientist driven downstream analysis.
  • Create and maintain pipelines for transformative data engineering in order to efficiently feed our knowledge system with new internal, or external, data.
  • Support the Computational Biology team in any and all technical/technological matters as needed. Such as generating code, designing automation solutions, and creating data engineering pipelines.
  • Be proficient in the workings of the Posit(R) ecosystem. Help to troubleshoot platform and process problems, such as making R libraries available, and/or create new interfaces to empower our scientists.


  • 10+ years of experience in innovative data solutions, analytics platforms, and data engineering.
  • Proven record of accomplishment creating and maintaining technological solutions for life-science and biotech needs.
  • Experience in data engineering, pipelining, and big-data ETL/ELT processes.
  • Deep understanding of the Atlassian stack (JIRA, Confluence, Bitbucket).
  • Extensive knowledge of cloud systems (e.g., AWS, Azure, GCP systems)
  • Experience building/maintaining various application servers (e.g., Apache, Nodejs, Posit)
  • A thorough understanding of network data communication (e.g., API rest calls)
  • Expertise with containerized application development (e.g., Docker, CoreOS, AWS ECS and EKS)
  • Proven ability to create and conduct a formal software system test plan (CI/CD).

Location: Flexible (on-site, remote, or hybrid)

Apply now

Click or drag a file to this area to upload.