Life Sciences Data Architect for AI & Cloud Pipelines

Insilico Search Partners; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading life sciences consultancy is seeking a Scientific Data Architect in Boston to design cloud-based data solutions. The role involves collaboration with scientists to create scalable data models and pipelines. Candidates should have a Ph.D. or M.S. and strong Python skills, with experience in scientific or R&D data architectures. Full-time employment with a focus on research in software development and biotechnology.

Qualifications

• Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines.
• Proven experience designing data architectures and pipelines for scientific or R&D environments.
• Strong Python development skills; experience with APIs and data integration.
• Familiarity with ELN/LIMS, scientific file formats, and lab informatics systems.
• Excellent communicator who can engage both technical and scientific stakeholders.

Responsibilities

• Partner with R&D teams to map and model scientific data workflows.
• Build scalable data pipelines and integrations using Python, APIs, and cloud tools.
• Develop visualization and app frameworks.
• Design extensible, reusable data models for scientific data.
• Collaborate to deliver production-ready solutions.
• Rapidly prototype and iterate through demos and stakeholder feedback.

Skills

Python

Data integration

Communication

Education

Ph.D. in life sciences or bioinformatics

M.S. in life sciences or bioinformatics

Tools

AWS

Streamlit

Plotly

Holoviews

Job description

A leading life sciences consultancy is seeking a Scientific Data Architect in Boston to design cloud-based data solutions. The role involves collaboration with scientists to create scalable data models and pipelines. Candidates should have a Ph.D. or M.S. and strong Python skills, with experience in scientific or R&D data architectures. Full-time employment with a focus on research in software development and biotechnology.