Data Engineer/Python Developer at Zifo

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jun, 26

Salary

0.0

Posted On

04 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Sql, NoSql, Aws, Fastapi, Benchling, Restful Apis, Microservices, Data Pipelines, Tdd, Git, Docker, Agile, Scrum, Data Modeling, Ci/Cd

Industry

IT Services and IT Consulting

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 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 Required Qualifications Bachelor’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 equivalent Solid understanding of REST APIs, microservices, and integration patterns 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) Exposure to life sciences, biotech, pharma, or healthcare domains and scientific platforms such as LIMS, ELN, SDMS, CDS, or data lakes 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 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 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.

Responsibilities

The role involves translating experimental workflows into robust data components, scientific system integrations, and next-generation data pipelines by collaborating with scientists and assay teams. Key tasks include designing, developing, and maintaining Python-based backend services, APIs, and data pipelines on AWS using FastAPI.