Jobs at Zifo

Build and manage scalable data pipelines, warehouses, and processing systems for pharmaceutical and biotech R&D clients. Responsibilities include analyzing data requirements, cleaning and transforming big data, developing analytics and visualization capabilities, advising on data engineering standards, planning efforts, and collaborating with clients and leadership. The role uses cloud platforms, distributed data technologies, databases, AI/ML libraries, and scientific data standards to support digital transformation.

Supports scientific platform implementations and digital transformation initiatives by gathering and validating requirements, analyzing business processes, creating user stories and project artifacts, supporting testing and validation, troubleshooting defects, and assisting with implementation, change management, and user adoption. Collaborates with consultants, developers, project managers, product owners, and life sciences customers across laboratory informatics and scientific data management projects.

Oversee Benchling implementations for life sciences customers by gathering scientific workflow requirements, designing scalable data models and configurations, coordinating implementation partners, validating solutions, leading testing and user acceptance, and supporting rollout, training, documentation, and adoption. Serve as a trusted advisor to scientific and technical stakeholders while promoting Benchling best practices and long-term data strategy.

Provides technical support and automation services for laboratory instruments and robotic systems. Responsibilities include installing, operating, maintaining, troubleshooting, scripting, validating, and modifying liquid handlers, plate readers, washers, dispensers, and integrated automation platforms. The role develops methods, performs preventative maintenance and testing, trains users, documents procedures, supports compliance, and collaborates with scientific and engineering teams to improve research workflows.

Advise life sciences customers on scientific and laboratory informatics strategy, product roadmaps, solution architecture, system modernization, and digital transformation. Translate scientific and operational needs into scalable solutions, define value metrics, lead change management, and drive adoption. Build trusted stakeholder relationships while remaining hands-on in implementation and resolving complex challenges across connected laboratory environments.

Designs and operates data infrastructure for a clinical trial platform. Builds pipelines that extract, normalize, validate, and link information from clinical documents and publications into Aurora and GraphDB. Develops embeddings, vector search, RAG workflows, data-serving APIs, lineage tracking, and regulatory audit trails. The role also requires AWS-based orchestration, clinical data quality controls, biomedical knowledge graph modeling, and deployment automation using infrastructure-as-code and containerization.

Manage and expand customer relationships with enterprise pharmaceutical, biotech, and life sciences clients. Responsibilities include account mining, revenue retention and pipeline development, RFP leadership, customer engagement management, renewals, steering committee presentations, project transitions, value proposition development, and consultative guidance on industry trends and best practices.

Leads the design, development, and delivery of scalable automation solutions for laboratory and scientific workflows. Responsibilities include software architecture, Python and AWS development, APIs, microservices, data pipelines, system integrations, workflow orchestration, testing, CI/CD, production support, and regulatory compliance. The role mentors engineers, establishes reusable frameworks, manages technical delivery and dependencies, and serves as a client-facing technical lead across distributed teams.

Leads a 2026 proof-of-concept and planning initiative to migrate on-premise HPC environments to AWS. Owns integrated project delivery, stage-gate governance, risk management, workflow mapping, data migration planning, stakeholder alignment, executive communications, and funding proposals. Partners with technical, research, security, engineering, and leadership teams to define cloud architecture requirements, resolve dependencies, and prepare the program for full-scale implementation.

Provides on-site technical support for laboratory automation environments, including installation, maintenance, troubleshooting, scripting, validation, user training, and preventative maintenance. Operates and configures liquid handlers, plate readers, robotic systems, and automation software. Collaborates with scientists and engineering teams to improve research workflows, documents procedures, supports compliance programs, and manages tasks across multiple customer projects.

Provides technical support and engineering services for laboratory automation environments. Installs, operates, maintains, validates, troubleshoots, and scripts liquid handlers, plate readers, robotic systems, and related software. Develops methods, performs testing, modifies automation systems, trains users, documents procedures, and supports compliance programs. Collaborates with scientists and engineering teams to improve research workflows and implement automation technologies across client laboratory sites.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.

Leads planning, execution, tracking, governance, and stakeholder coordination for technology and informatics projects serving pharmaceutical and biotech customers. Manages scope, schedules, risks, issues, dependencies, resources, communications, requirements, testing, deployment, vendors, and customer deliverables. Supports Agile, hybrid, and waterfall methods while coordinating globally distributed teams and contributing to improved delivery practices.

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.

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.

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

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 Data Scientist will develop machine learning models, apply optimization techniques, analyze complex datasets, and collaborate with cross-functional teams to deliver solutions tailored to life sciences and related industries.