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

Zifo; Boston; On-site; PHP 5,562,423 - 7,416,564; Full time

Benefits offered by this job

Accrued vacation

Medical

Dental

Vision

401k with company matching

Life insurance

Flexible spending accounts

Job summary

Zifo is looking for a passionate Software Developer in Boston who can combine science and technology. The candidate will design and maintain Python-based backend services, focusing on scientific data and laboratory informatics using AWS technologies.

The role requires a Bachelor’s or master’s degree in a relevant field and expertise in Python and FastAPI, with experience in managing data workflows. A competitive compensation package with benefits is offered.

Qualifications

• 3–8 years of hands‑on experience in Python development with FastAPI.
• Proficiency in SQL, complex queries, and performance optimization.
• Experience with scientific data and laboratory informatics, familiar with Benchling or ELN.

Responsibilities

• Collaborate with scientists to capture assay and experimental workflows.
• Design and maintain Python‑based backend services on AWS.
• Implement and maintain CI/CD pipelines for automated build and testing.

Skills

Python development

AWS

SQL

FastAPI

Benchling

Education

Bachelor’s or master’s degree in computer science, Engineering, Life Sciences

Tools

PostgreSQL

DynamoDB

Git

Docker

Job description

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.

Responsibilities

• 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

We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.

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.