Lab Informatics Business Analyst

Hatch Pros is seeking a Lab Informatics Business Analyst who will be responsible for translating lab business requirements and scientific data needs into structured inputs for the Data Foundation program. This role acts as a liaison between lab stakeholders and technical teams, ensuring accurate capture and standardization of lab workflows and data.

Responsibilities:

• Business Requirements Elicitation (Lab Informatics) Engage With: Lab scientists and researchers QA and compliance teams Lab IT and system owners Capture Detailed Requirements For: LIMS, SDMS, ELN workflows Data capture, processing, and reporting
• Lab Process & Workflow Analysis Analyze And Document End-to-end Lab Processes, Including: Sample lifecycle Methods and experiments Test execution and results generation Identify Process Flows Across: LIMS SDMS (instrument data capture) ELN
• Data Analysis & Domain Understanding Identify And Define: Key data entities (samples, methods, experiments, results, instruments) Relationships and dependencies between entities Analyze: Data flows across systems Data usage by business stakeholders
• Source System Analysis (LIMS / SDMS / ELN) Perform Deep-dive Analysis Of: LIMS (structured lab data) SDMS (instrument-generated files and metadata) Understand: Data structures Field meanings Data quality issues and inconsistencies
• Requirements Translation to Data Foundation Artifacts Translate Business Needs Into: Data model inputs (entities, attributes, relationships) Source-to-target mappings Data dictionary definitions Ensure Alignment With: Standard data model Data governance requirements
• Data Mapping & Transformation Support Support Mapping Activities: Field-level mapping from LIMS/SDMS to target models Identify: Data gaps Transformation logic Standardization requirements
• Data Quality & Governance Support Identify And Document: Data quality issues Inconsistencies across systems Support Definition Of: Business rules Data quality requirements Collaborate On Governance Topics: Ownership Stewardship Definitions
• Integration & Use Case Analysis Support Definition Of: Data consumers (QA, reporting, analytics, regulatory) Integration needs across systems Identify Use Cases For: Reporting and compliance Analytics and digital thread
• Documentation & Artifact Development Develop And Maintain: Business requirement documents (BRDs) Functional specifications Process flow diagrams Data definitions and mapping documents
• Stakeholder Workshops & Validation Facilitate And Participate In: Requirement workshops Data validation sessions Validate Outputs With: Lab SMEs QA and compliance teams IT stakeholders
• Support Program Delivery Work Closely With: Data architects Data modelers Governance leads Support Delivery Across: Discovery Modeling Governance Architecture alignment

Requirements:

• Bachelors Degree In: Life Sciences, Chemistry, Biology, or Engineering
• Bachelors Degree In: Information Systems / Data Analytics (with lab experience)
• 5-10 Years Of Experience In: Business analysis
• 5-10 Years Of Experience In: Lab informatics or scientific data environments
• Hands-on Experience With: LIMS systems (LabWare, STARLIMS, Thermo Fisher, etc.)
• Hands-on Experience With: SDMS platforms (BIOVIA, LabVantage, Waters NuGenesis, etc.)
• Strong Understanding Of: Lab workflows (sample lifecycle, experiments, results)
• Strong Understanding Of: Instrument data capture and file structures
• Strong Understanding Of: Scientific data lifecycle and regulatory needs
• Business Analysis
• Requirements elicitation and documentation
• Process modeling and gap analysis
• Stakeholder engagement and workshop facilitation
• LIMS / SDMS data structures and workflows
• Scientific data interpretation
• Instrument data understanding
• Data mapping and transformation logic
• Data quality issue identification
• Business rule definition
• Process flow tools (Visio, Lucidchart)
• Data mapping and documentation tools
• Strong Excel and analytical skills
• Strong communication with business and technical teams
• Ability to translate complex scientific concepts into structured requirements
• ELN systems (preferred)