Senior Business Systems Analyst - Lab Tech Platform (Hybrid)

NeoGenomics Laboratories

Durham (NC)

Hybrid

USD 90,000 - 130,000

Full time

9 days ago

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Benefits offered by this job

Health benefits

401k match

Employee Stock Purchase Plan

Tuition reimbursement

Leadership development

Paid time off + holidays

Job summary

NeoGenomics is seeking a Senior Business Systems Analyst to lead requirements analysis and solution design for NeoLink, LIMS, and related lab systems. You will translate complex business needs into actionable specifications and guide cross‑functional teams through solution delivery.

In this hybrid role, you will partner with laboratory operations, medical, clinical, and technology teams to drive process improvements and validate solutions, while mentoring junior analysts and contributing to

Qualifications

Bachelor's Degree in Computer Science, Information Systems, Life Sciences, Chemistry, or related field required.
5+ years of experience in business systems analysis, with at least 3 years in a clinical laboratory environment.
Must be authorized to work in the United States without sponsorship.
Deep experience with LIMS platforms, laboratory workflows, and instrument integration patterns.
Demonstrated experience leading requirements analysis on complex, multi-team initiatives.
Strong facility with SDLC methodologies, Agile and DevOps practices.
Understanding of RESTful APIs, JSON, relational databases, HL7 messaging, and integration patterns.
Familiarity with CAP/CLIA, HIPAA, SOX, and FDA 21 CFR Part 11.

Responsibilities

Lead requirements elicitation, analysis, and documentation for complex initiatives across NeoLink, LIMS, and adjacent lab systems.
Own user stories, acceptance criteria, functional specifications, and traceability from business need to deliver solution.
Partner with Software Engineering, Architecture, and Quality teams to shape solution designs.
Evaluate build versus configure versus buy tradeoffs, and document architectural decision records.
Conduct current state and future state workflow analysis across molecular, flow cytometry, FISH, and cytogenetics workflows.
Identify opportunities for automation, standardization, and clinical operational efficiency.