Zifo

Design, architect, and deliver scalable, compliant automation solutions for scientific and laboratory workflows while providing technical leadership and mentoring engineering teams. | Bachelor’s or Master’s degree in engineering or Life Sciences with 6+ years experience in automation and software engineering, strong Python, AWS, API integration, and regulated environment expertise required. | 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 an experienced Scientific Automation Lead to drive the design, architecture, and delivery of scalable, compliant automation solutions across scientific and laboratory workflows. The role sits at the intersection of science, laboratory informatics, data, integration, cloud, and automation technologies, partnering with scientists, laboratory users, technical teams, and client stakeholders to identify automation opportunities and translate complex experimental workflows into robust, production-ready solutions spanning scientific system integrations, data components, workflow orchestration, AI-enabled capabilities, and next-generation data pipelines. The Automation Lead will provide technical leadership across solution architecture, integration strategy, automation frameworks, testing, CI/CD, production readiness, and delivery, while mentoring engineering teams, establishing reusable automation patterns and accelerators, managing technical dependencies, and serving as a key technical interface with clients. Experience with Benchling, LIMS, ELN, SDMS, CDS, enterprise data platforms, and strong expertise in Python, APIs, AWS, and modern software engineering practices will be highly valued. Own end-to-end automation initiatives, from discovery, technical assessment, and solution strategy through architecture, implementation, deployment, and production support, ensuring solutions are scalable, reusable, and aligned with business and scientific objectives. Drive the development of integrated automation solutions across laboratory workflows, scientific systems, data platforms, workflow orchestration, and AI/ML capabilities, collaborating effectively with scientists, technical teams, and client stakeholders. Design and develop automation frameworks, APIs, microservices, integrations, and data pipelines using Python, FastAPI, AWS, and modern cloud technologies. Lead integration with scientific and enterprise platforms such as Benchling, LIMS, ELN, SDMS, CDS, and enterprise data platforms using API, file-based, event-driven, and other integration patterns. Drive automation of data ingestion, transformation, validation, reconciliation, workflow execution, and data movement across laboratory and downstream systems. Establish reusable frameworks, components, accelerators, and engineering standards, while leading testing, CI/CD, deployment, monitoring, troubleshooting, and production-readiness practices. Ensure solutions meet security, data integrity, performance, auditability, and regulatory requirements, including GxP and 21 CFR Part 11 where applicable. Provide technical leadership and mentorship through architecture and design reviews, code reviews, technical problem solving, performance optimization, and guidance to automation engineers. Manage technical delivery, including estimates, dependencies, risks, resource needs, cross-team coordination, and delivery status across geographically distributed teams; serve as a technical point of contact for clients and communicate solution approaches, recommendations, and trade-offs. Drive continuous improvement and innovation by evaluating automation, AI/ML, workflow orchestration, and cloud technologies, while maintaining clear technical documentation covering architecture, integrations, APIs, workflows, testing, deployment, and operations using JIRA, Confluence, or equivalent tools. Required Qualifications Bachelor’s or Master’s degree in engineering, Life Sciences, or a related field, with 6+ years of experience in automation, software engineering, and technical development, 3+ years of experience in customer/client engagement and relationship management, and 3+ years of experience in technical/team leadership and mentoring. Strong hands-on experience with Python, FastAPI, REST APIs, microservices, automation frameworks, and scientific/enterprise system integrations, with experience using frameworks and tools such as pytest, Apache Airflow, Prefect, or equivalent workflow orchestration technologies Strong experience with SQL, data modeling, relational databases, and familiarity with NoSQL databases. Strong AWS experience, including S3, EC2, Lambda, Step Functions, RDS/Aurora, IAM, monitoring, and logging. Experience with data pipelines, ETL/ELT, data validation, workflow automation, and system integrations. Strong understanding of Git, CI/CD, automated testing, Docker, DevOps, and modern software development practices. Experience with testing frameworks such as pytest/unittest, including unit, integration, API, and end-to-end testing. Working knowledge of AI/ML concepts and data/ML libraries such as pandas, NumPy, and scikit-learn; TensorFlow/PyTorch is a plus. Strong understanding of software architecture, design patterns, integration patterns, Agile/Scrum, SDLC, and cloud deployment practices. Experience working in regulated environments, with knowledge of GxP, 21 CFR Part 11, data integrity, audit trails, validation, and change management. Demonstrated ability to lead technical teams, mentor engineers, conduct technical reviews, and establish engineering standards. Strong communication, stakeholder management, problem-solving, client-facing, and cross-functional leadership skills. Additional Preferences Experience working with global, geographically distributed teams and managing cross-team dependencies. Experience with scientific and laboratory systems such as Benchling, LIMS, ELN, SDMS, CDS, or similar platforms; life sciences/pharmaceutical experience preferred. Experience developing reusable automation frameworks, accelerators, and integration patterns. Experience working directly with scientists, assay teams, laboratory users, and business stakeholders. Experience with technical estimation, client workshops, discovery sessions, solution proposals, or pre-sales activities. Willingness to travel/ relocate based on project or business needs CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies. We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts. If you share these sentiments and are prepared for the atypical, then Zifo is your calling! Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Design and maintain data pipelines and data models for clinical trial platform ensuring data quality and regulatory compliance. | Strong Python and SQL skills, experience with graph databases and AWS, and domain knowledge in clinical trials and RAG AI applications. | Design, build, and operate the data infrastructure for a clinical trial design platform that extracts insights from clinical protocols, regulatory documents, and published articles to accelerate trial design decisions. This role owns the pipelines that ingest, parse, transform, and serve clinical data - from raw PDF extraction through structured storage in Aurora and GraphDB, to serving curated knowledge for LangGraph-based agentic AI workflows. Build ingestion pipelines for clinical trial protocols, ICF documents, SmPCs, CSRs, and published articles (PubMed, CTIS, ClinicalTrials.gov) - handling PDF parsing, text extraction, and structured data normalization Design and implement data models in Amazon Aurora (relational) and GraphDB (knowledge graph) to represent trial design entities: endpoints, eligibility criteria, study arms, interventions, therapeutic areas, and their relationships Develop embedding and vectorization pipelines to prepare extracted clinical text for RAG-based retrieval in LangGraph agentic workflows - chunking strategies, metadata enrichment, and vector store population Build and maintain ETL/ELT workflows that transform unstructured clinical content into queryable, linked data across both relational and graph stores Implement data quality validation specific to clinical data - protocol section classification accuracy, entity extraction completeness, cross-reference integrity (NCT IDs, EudraCT numbers, MeSH terms) Build data serving APIs (Python/FastAPI) that expose curated datasets to the Angular frontend and LangGraph agent layer Set up data lineage tracking and audit trails to support regulatory traceability of AI-generated trial design recommendation Required Skills Strong Python development experience, including PDF/document parsing libraries such as PyMuPDF, pdfplumber, unstructured.io, or similar. Advanced PostgreSQL-compatible SQL, including Amazon Aurora; experience with schema design, migrations, query optimization, and indexing strategies for large clinical datasets. Hands-on experience with Neptune, Neo4j, or similar graph databases; proficiency in SPARQL or Cypher; experience with ontology and knowledge graph modeling for biomedical entities. Experience with AWS services including Aurora PostgreSQL, S3, Lambda, Step Functions, SQS/SNS, and IAM, particularly for data pipeline orchestration. Experience with PDF text extraction, document section classification, and named entity recognition (NER) for clinical/biomedical text; familiarity with embedding models and vector stores such as OpenSearch, pgvector, or Pinecone. Experience building data-serving APIs using FastAPI, including asynchronous programming patterns and backend integration. Experience preparing data for LangChain/LangGraph applications and designing RAG pipelines, including chunking, retrieval, reranking, and prompt-data integration. Experience with Airflow, Prefect, AWS Step Functions, Temporal, or similar workflow orchestration tools; ability to design multi-stage DAGs with dependency management, retry logic, monitoring, and error handling. Experience with Terraform or AWS CDK, Docker, and Git, including automated pipeline testing and deployment on AWS. Domain Knowledge Understanding of clinical trial structure: protocol sections (objectives, endpoints, eligibility criteria, study design, statistical considerations) Familiarity with clinical data standards or terminologies (MeSH, MedDRA, SNOMED, ATC codes, CDISC) is a strong plus Awareness of regulatory data integrity requirements (21 CFR Part 11, EU Annex 11, ALCOA+ principles) Nice to Have Experience with biomedical knowledge graphs (e.g., linking drugs -> targets -> diseases > trials) Prior work with PubMed/MEDLINE data, ClinicalTrials.gov API, or EMA/CTIS data. Apache Spark or Databricks for batch processing of large document corpora dbt for transformation layer management over Aurora CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies. We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts. If you share these sentiments and are prepared for the atypical, then Zifo is your calling! Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Lead design, development, and delivery of full-stack applications with technical guidance and mentorship. | 12+ years experience with Java, Spring Boot, Microservices, Angular, and cloud-based development practices. | Location: Remote: United States **This role is not eligible for relocation assistance** We are seeking an experienced Java Full Stack Tech Lead with strong hands-on expertise in Java, Spring Boot, Microservices, and Angular. The ideal candidate will lead a development team, provide technical direction, and contribute hands-on to the design and development of scalable enterprise applications. Key Responsibilities Lead the design, development, and delivery of full-stack applications using Java, Spring Boot, Microservices, and Angular. Provide technical leadership, guidance, and mentorship to developers. Develop and review backend services, REST APIs, and Angular applications. Drive Angular frontend development using TypeScript, RxJS, reusable components, and modern UI development practices. Conduct code reviews and ensure adherence to coding standards and engineering best practices. Troubleshoot complex technical issues and support performance optimization. Collaborate with architects, product owners, QA, DevOps, and other stakeholders. Support CI/CD, application deployments, and cloud/container environments. Ensure applications meet requirements for security, scalability, performance, and maintainability. Participate in sprint planning, technical estimation, and delivery tracking. Required Skills & Experience 12+ years of software development experience, including experience leading technical teams. Strong hands-on expertise in Java, Spring Boot, Spring Framework, and Microservices. Strong experience with Angular, TypeScript, RxJS, HTML, and CSS. Experience developing and integrating RESTful APIs. Strong knowledge of object-oriented design, design patterns, and distributed applications. Experience with SQL and/or NoSQL databases. Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms such as AWS, Azure, or GCP. Experience with Git, Maven/Gradle, automated testing, and code-quality tools. Strong troubleshooting, communication, mentoring, and team leadership skills. Key Skills: Java | Spring Boot | Microservices | Angular | TypeScript | REST APIs | SQL/NoSQL | Cloud | Docker | Kubernetes | CI/CD | Technical Leadership About Zifo: CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies. We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts. If you share these sentiments and are prepared for the atypical, then Zifo is your calling! Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.