Biotech Platform Engineer - Data Pipelines & Analytics

flagshippioneeringinc; Cambridge; On-site; GBP 70,000 - 100,000; Full time

Job summary

Flagship Pioneering's FL103 is seeking an Engineer, Software Development to help design and evolve a biological research platform that turns experiments into organized, accessible, analysis-ready data. This platform- and automation-focused role spans design through operation, preserving provenance and context.

You will collaborate with experimental scientists, build reusable data models, pipelines, and interfaces, and operate shared cloud infrastructure with emphasis on data integrity and test

Qualifications

• MS or higher in CS or related field.
• Hands-on programming and orchestration of AI coding agents.
• Data modelling with relational models and ORMs (PostgreSQL, SQLAlchemy).
• Proficiency in Python data engineering (Pandas, NumPy, PyArrow).
• Experience with AWS services and API-first design.
• Experience integrating and automating with modern stacks like FastAPI, REST.

Responsibilities

• Learn how experiments are run and how samples and results are tracked.
• Design reusable data models and workflows, implement and operate them.
• Design schemas and interfaces spanning computational and experimental data.
• Build pipelines to parse files, harmonize metadata, and load systems.
• Make data available through APIs, visualizations, and AI interfaces.
• Configure and operate shared cloud infra safely and test changes.
• Preserve provenance, units, controls, QC and ensure data integrity.

Skills

Python programming

Data modelling

AWS knowledge

SQL/ORM experience

API design

Test-driven development

Education

MS or higher in CS or related field

Tools

PostgreSQL on AWS RDS

SQLAlchemy

Alembic

Pandas/NumPy/PyArrow

FastAPI

Benchling

REST

Job description

Flagship Pioneering's FL103 is seeking an Engineer, Software Development to help design and evolve a biological research platform that turns experiments into organized, accessible, analysis-ready data. This platform- and automation-focused role spans design through operation, preserving provenance and context.

You will collaborate with experimental scientists, build reusable data models, pipelines, and interfaces, and operate shared cloud infrastructure with emphasis on data integrity and test