Zifo

Life sciences

AutomationEngineer-ScientificData,AI/MLPipelines&IntegrationDev

$115–155k ~AI est. Boston, Massachusetts, United States; Indianapolis, Indiana, United States; RTP, North Carolina, United States; Chicago, Illinois, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Automation Engineer - Scientific Data, AI/ML Pipelines & Integration Dev at Zifo”

Industry & Context.

Life sciences
Full Job Description

**Location:** Boston, Indianapolis, RTP North Carolina & Chicago Zifo is a global specialist scientific and process informatics services company supporting life sciences, biotech, and pharmaceutical organizations. We enable digital transformation across R&D, manufacturing, and quality by delivering data-driven, scalable, and compliant software solutions. Zifo is seeking a passionate Software Developer who can work at the intersection of science, data, and technology. The role requires strong expertise in Benchling, Python, SQL/NoSQL, AWS and FastAPI, along with the ability to work directly with scientists performing assay-based experiments. The successful candidate will translate experimental workflows into robust data components, scientific system integrations, AI-enabled insights, and next-generation data pipelines **Requirements** * Collaborate with scientists, assay teams, and lab operations to capture end-to-end assay and experimental workflows, from sample onboarding and execution through data ingestion, validation, and downstream analytics * Translate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelines * Design, develop, and maintain Python-based backend services, APIs, microservices, and data pipelines on AWS using FastAPI and supporting frameworks such as Flask or Django, including integrations with scientific systems such as Benchling, Signals, LIMS, ELN, CDS, and SDMS. * Design and optimize SQL and NoSQL data models and build ETL/ELT and next-generation data pipelines to support structured, semi-structured, and high-volume scientific data, analytics, and AI/ML workloads, including dataset preparation, feature engineering, and model integration into pipelines and applications. * Implement and maintain CI/CD pipelines for automated build, testing and deployment * Ensure solutions meet performance, data integrity, security, and

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