Zifo

Analyst

• This role will report to Head of Benchling Practice at Zifo, responsible for overseeing the Benchling rollout at one or multiple customers.
• The role will partner closely with Customer’s Research and Technical Development scientists to understand their scientific workflows and translate those needs into scalable, consistent Benchling solutions.
• The role will work closely with implementation consultants to own the end-to-end delivery of assigned projects, from requirements discovery through rollout and adoption, while ensuring solutions align with shared platform standards and long-term data strategy.
• Partner with scientific teams to understand their software-related use cases and identify how Benchling can best support their business needs.
• Capture user requirements and present them for manager review and approval, ensuring balance between team needs, shared platform standards and long-term scalability.
• Leverage knowledge of Benchling product ecosystem to propose potential approaches during requirements gathering.
• Lead requirements gathering and design workshops, translating scientific workflows into data models, templates, intake processes, and system configurations.
• Analyze and translate end-to-end assay data processes - from raw data capture and metadata enrichment through transformation and reporting - into structured, scalable, Benchling workflows that are intuitive and usable for end users.
• Collaborate with implementation partners to hand off requirements, review and validate delivered configurations, and drive iterative refinement through demos and user workshops.
• Develop test plans, guide UAT execution, and create documentation and training materials to support user training and onboarding.
• Provide user support during rollout and early adoption.
• Act as a trusted advisor to scientific stakeholders, guiding trade-offs and promoting Benchling best practices.

ELN Analyst, Benchling

Backend Engineer

• Develop, configure, and support software solutions using Java
• Work closely with stakeholders to gather requirements and translate them into Jira stories and user stories
• Assist in solution design, implementation, and integration within customer environments
• Ensure solutions function as designed and meet customer expectations
• On-site 3–4 days/week
• Collaborate with internal teams and third-party partners to deliver projects on time

Java Developer

• 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, and data pipelines on AWS
• Build backend services using FastAPI and supporting frameworks such as Flask or Django
• Develop and maintain RESTful APIs and microservices for integration with scientific systems including Benchling, LIMS, ELN, CDS, and SDMS
• Design and optimize SQL and NoSQL data models to support structured, semi-structured, and high-volume scientific data
• Build and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloads
• Support AI/ML use cases by preparing datasets, enabling feature engineering, and integrating models into pipelines and applications
• Implement and maintain CI/CD pipelines for automated build, testing and deployment
• Apply Test-Driven Development (TDD) practices and develop automated unit, integration, and data validation tests
• Ensure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)
• Perform code reviews, debugging, and performance optimization
• Coordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignment
• Create ready to deliver technical documentation and track deliverables using JIRA and Confluence

Data Engineer/Python Developer

Consultant

• Responsible for validation strategy and planning, executing and qualification of computer systems and/or infrastructure components in accordance with applicable policies procedures and regulatory requirements

Senior Clinical, CSV Validation Consultant

Artificial Intelligence

• Understand current and emergent Bioinformatics problems, needs, requirements analysis, and design.
• Engage the market and the genetics/-omics’ community to develop, commercialize, and expand our bioinformatics and multi-omics services taking input from customers, literature and conferences.
• Deliver timely, scalable NGS and ‘omics solutions (e.g. genomics, transcriptomics, metagenomics, epigenomics, microbiome, metabolomics, single-cell and spatial omics and proteomics).
• Apply molecular techniques, bioinformatics pipelines, relational data systems, and statistical analysis to generate biological insights using internal and external data sets, published literature, and other resources to accelerate biomarker discoveries.
• Deliver robust, in-depth, and state-of-the-art analysis pipelines.
• Integrate AI-driven approaches into bioinformatics workflows, including the use and fine-tuning of biological foundation models (e.g. scGPT and similar models) to enhance interpretation of multi-omics data.
• Manage multiple projects simultaneously and complete analyses in a timely and reliable manner.
• Research, assess, recommend, and integrate Bioinformatics Technology platforms.
• Help customers estimate, plan, and prioritize Bioinformatics Technology implementation.
• Be hands-on involved in critical bioinformatics program delivery.

Bioinformatician – Computational Biology, AI Omics

• Develop, configure, and support software solutions using Java
• Work closely with stakeholders to gather requirements and translate them into Jira stories and user stories
• Assist in solution design, implementation, and integration within customer environments
• Ensure solutions function as designed and meet customer expectations
• Collaborate with internal teams and third-party partners to deliver projects on time