Jobs at Zifo

Leads the full Manufacturing Informatics business lifecycle, including market strategy, sales, business development, solutioning, delivery, operations, P&L, and customer expansion. Builds executive relationships across pharmaceutical and biotechnology manufacturing organizations; oversees MES, EBR, digital manufacturing, integrations, analytics, AI/ML, and Industry 4.0 initiatives. Develops partnerships, recruits and leads global teams, manages financial and operational performance, and ensures solutions meet regulatory, cybersecurity, data integrity, and business requirements.

Lead data engineering initiatives for pharmaceutical and biotech clients by building cloud-based data pipelines, warehouses, processing systems, analytics, and visualization tools. Responsibilities include analyzing business requirements, transforming big data, identifying insights, advising on standards and best practices, estimating engineering efforts, collaborating with stakeholders and leadership, and supporting growth of the data science business.

Supports the MODA LIMS EM module and other regulated laboratory applications, ensuring operational reliability, data integrity, GxP compliance, and inspection readiness. Responsibilities include troubleshooting, incident resolution, lifecycle management, upgrades, patching, vendor coordination, documentation, risk remediation, UAT, regression testing, validation, and continuous improvement. The role partners with IT, Quality, laboratory, manufacturing, and research teams as a technical and functional subject matter expert.

Provides onsite GxP laboratory computing consulting, requirements analysis, validation and compliance support, customer liaison services, and IT support for instrument-connected systems. Responsibilities include troubleshooting, Windows security policy implementation, change management, system validation, inventory management, preventative maintenance, vendor coordination, process improvement, and operational reporting. The role requires collaboration with laboratory owners, business users, service teams, field engineers, and third-party vendors at a client site in North Chicago, Illinois.

Provides onsite laboratory IT support, GxP validation and compliance assistance, requirements analysis, technical consulting, customer liaison services, instrument troubleshooting, Windows security implementation, inventory management, preventative maintenance, and coordination with vendors and field engineers. The role supports laboratory systems and workflows in pharmaceutical and biotechnology environments while helping customers improve processes and comply with applicable regulations.

Provides onsite laboratory IT consulting, requirements management, validation and compliance support, customer liaison services, and technical support for instrument-connected systems. Troubleshoots complex technology issues, supports Windows security policies, coordinates vendors and service teams, manages equipment inventories, performs preventative maintenance, evaluates solutions, and recommends process improvements. The role requires experience with laboratory workflows, software development and testing, business requirements analysis, GxP regulations, change control, risk management, and Bio/Pharma environments.

Provides onsite GxP laboratory computing consulting, requirements analysis, validation and compliance support, instrument-connected system troubleshooting, Windows-based IT support, customer liaison services, vendor coordination, inventory management, preventative maintenance, and process improvement recommendations. Supports laboratory systems across pharmaceutical and biotechnology environments while coordinating projects, change control, risk management, and regulatory compliance activities.

Provides onsite laboratory computing consulting, requirements analysis, validation and compliance support, customer liaison services, and IT support for instrument-connected systems. Responsibilities include troubleshooting Windows-based lab technologies, managing system validation and change control, coordinating vendors and service teams, maintaining equipment inventories, supporting preventative maintenance, evaluating solutions, and recommending process improvements. Requires strong knowledge of pharmaceutical or biotech workflows, laboratory systems, software development and testing, business requirements analysis, and applicable GxP regulations.

Provides onsite laboratory IT support, requirements analysis, consulting, validation and compliance assistance for instrument-connected systems. Troubleshoots technology issues, supports Windows security policies, coordinates vendors and service groups, manages inventories and preventive maintenance, and advises customers on process improvements. The role also supports system design, implementation, change control, risk management, testing, and GxP-regulated laboratory workflows while serving as a technical liaison between laboratory stakeholders and third parties.

Lead Benchling rollouts by partnering with scientific teams to gather requirements, design data models, templates, and workflows, and oversee implementation. Run workshops, validate configurations with implementation partners, create test plans and training materials, support UAT and early adoption, and act as a trusted advisor promoting Benchling best practices and scalable platform standards.

Lead Benchling implementations by partnering with scientific teams to capture requirements, design scalable data models and workflows, run workshops, guide UAT, create training and documentation, support rollout and adoption, and ensure solutions follow platform standards and long-term data strategy.

Lead and execute change management for pharma/biotech/agritech clients: define strategy, drive business analysis deliverables (URS, FRS, workflows), assess informatics/data landscapes, manage projects, mentor staff, support business development, and ensure operational excellence.

Develop, configure, implement, and support laboratory informatics solutions using Java. Gather requirements, write Jira/user stories, assist solution design and integration, collaborate with stakeholders and partners, and ensure solutions meet customer expectations. On-site 3-4 days/week.

Lead business analysis for R&D informatics projects, translate scientific needs into requirements, design future-state workflows and data models, manage small projects, support GxP/data integrity assessments, engage customers and vendors, mentor junior analysts, and contribute to proposals and continuous improvement.

Lead Computer Systems Validation and testing for the SAP ICSM solution and S/4 HANA add-on, ensuring regulatory compliance. Collaborate with Digital, QC, QA, Infrastructure and vendors, manage multiple stakeholders, resolve project execution challenges, and maintain clear documentation and customer communication.

The GxP Lab Computing Analyst provides consulting and technical laboratory services, supporting IT needs and validation compliance while liaising with clients and conducting requirements management.

Implement and support enterprise LIMS (e.g., LabWare, LabVantage) for sample-centric workflows in regulated labs: gather requirements, configure systems, validate (IQ/OQ/PQ), support UAT and go-live, provide post-implementation support, training, and process improvements.

Implement, configure, validate, and support sample-centric LIMS solutions (e.g., LabWare, LabVantage) for regulated laboratories. Lead requirements gathering, design workflows, configure instruments/inventory, execute IQ/OQ/PQ testing, support UAT and go-live, provide post-implementation support, training, and documentation, and identify opportunities for improved compliance and efficiency.

The Associate Scientific Strategy Consultant leads consulting projects in life sciences, ensuring success through stakeholder management, project execution, and operational excellence.

The Automation Engineer designs, develops, and maintains data pipelines and API integrations for scientific workflows while ensuring compliance with industry standards. The role involves collaboration with scientists and the use of various technologies to optimize data processes.