Automation Engineer - Scientific Data, AI/ML Pipelines & Integration Dev

Location: Boston, Indianapolis, RTP North Carolina & Chicago

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 Benchling, Python, SQL/NoSQL, AWS and FastAPI, 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

Requirements

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, microservices, and data pipelines on AWS using FastAPI and supporting frameworks such as Flask or Django, including integrations with scientific systems such as Benchling, Signals, LIMS, ELN, CDS, and SDMS.

Design and optimize SQL and NoSQL data models and build ETL/ELT and next-generation data pipelines to support structured, semi-structured, and high-volume scientific data, analytics, and AI/ML workloads, including dataset preparation, feature engineering, and model integration into pipelines and applications.

Implement and maintain CI/CD pipelines for automated build, testing and deployment

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

Required Qualifications

Bachelor’s or master’s degree in computer science, Engineering, Life Sciences with 3–8 years of hands-on experience in Python development with FastAPI

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 equivalent

Experience with scientific data and laboratory informatics, including familiarity with Benchling or similar scientific data platforms ELN like Benchling, LIMS, ELN, SDMS, CDS,, within the life sciences or pharmaceutical industry. (Preferred)

AWS experience, including S3, EC2, Lambda, Step Functions, RDS / Aurora, IAM, monitoring, and logging

Proficiency 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 delivery

Hands-on experience with Test-Driven Development and Python testing frameworks such as pytest, unittest, and mocking libraries

Working knowledge of AI/ML concepts, including data preparation, feature engineering, model integration, and inference workflows

Exposure to the data and ML libraries such as pandas, NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus)

Ability to design data models aligned to scientific and assay workflows & integrating scientific or enterprise systems and working directly with scientists or lab users

Knowledge of containerization (Docker) and modern deployment best practices

Familiarity with Agile/Scrum & SDLC development methodologies & Solid understanding of REST APIs, microservices, and integration patterns

Strong communication, stakeholder engagement, and cross-team coordination skills

Additional Preferences

Willingness to travel/ relocate based on project or business needs

Ability to work in a fast-paced, client-focused environment

Comfortable managing cross-team coordination and dependency management, particularly across globally distributed teams and user groups

Benefits

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!