Data Engineer/Python Developer

United States | March 4, 2026

Report as Closed

Company: Zifo

Salary: $80,000 - $100,000

Type: Onsite

Employment: Full Time

Description: Location: Boston, MA, RTP North Carolina.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 Python, SQL/NoSQL, AWS, FastAPI, and Benchling, 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 RequirementsCollaborate 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 analyticsTranslate scientific and operational requirements into well-defined functional, technical, and data requirements for laboratory platforms, system integrations, and next-generation data pipelinesDesign, develop, and maintain Python-based backend services, APIs, and data pipelines on AWSBuild backend services using FastAPI and supporting frameworks such as Flask or DjangoDevelop and maintain RESTful APIs and microservices for integration with scientific systems including Benchling, LIMS, ELN, CDS, and SDMSDesign and optimize SQL and NoSQL data models to support structured, semi-structured, and high-volume scientific dataBuild and support ETL/ELT and next-generation data pipelines for analytics and AI/ML workloadsSupport AI/ML use cases by preparing datasets, enabling feature engineering, and integrating models into pipelines and applicationsImplement and maintain CI/CD pipelines for automated build, testing and deploymentApply Test-Driven Development (TDD) practices and develop automated unit, integration, and data validation testsEnsure solutions meet performance, data integrity, security, and regulatory compliance requirements (e.g., GxP, 21 CFR Part 11)Perform code reviews, debugging, and performance optimizationCoordinate across cross-functional and geographically distributed teams, managing dependencies and ensuring delivery alignmentCreate ready to deliver technical documentation and track deliverables using JIRA and Confluence Required QualificationsBachelor’s or master’s degree in computer science, Engineering, Life Sciences with 2–5 years of hands-on experience in Python development with FastAPI (Flask or Django is a plus)Proficiency in SQL, including schema design, complex queries, and performance optimization > Relational databases such as PostgreSQL, MySQL, Oracle, AWS RDS/Aurora > NoSQL databases such as DynamoDB, MongoDB, or equivalentSolid understanding of REST APIs, microservices, and integration patternsAWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and loggingProficiency with Git-based collaborative development, including branch management, pull requests, code reviews, and integration with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline) to ensure reliable and traceable software deliveryHands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking librariesWorking knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflowsExposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)Exposure to life sciences, biotech, pharma, or healthcare domains and scientific platforms such as LIMS, ELN, SDMS, CDS, or data lakesAbility to design data models aligned to scientific and assay workflows & integrating scientific or enterprise systems and working directly with scientists or lab usersKnowledge of containerization (Docker) and modern deployment best practicesFamiliarity with Agile/Scrum & SDLC development methodologies Strong communication, stakeholder engagement, and cross-team coordination skills Additional PreferencesWillingness to travel/ relocate based on project or business needsAbility to work in a fast-paced, client-focused environmentComfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groupsBenefitsCURIOSITY 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

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