Scientific Data Architect

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

Overview

Scientific Data Architect – Life Sciences Data & AI

About the Role: We’re seeking a Scientific Data Architect to design and deliver next-generation data solutions that accelerate discovery across the life sciences.

You’ll work hands-on with scientists and engineers to transform complex experimental workflows into scalable, cloud-based data models, pipelines, and visualization tools.

If you love bridging science, data, and engineering—and thrive in collaborative, high-impact environments—this role is for you.

What You’ll Do

• Partner with R&D teams to map and model scientific data workflows
• Build scalable data pipelines and integrations using Python, APIs, and cloud tools (AWS preferred)
• Develop visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews)
• Design extensible, reusable data models (tabular & JSON) for scientific data
• Collaborate with business analysts, data scientists, and AI/ML engineers to deliver production-ready solutions
• Rapidly prototype and iterate through demos and stakeholder feedback

What You Bring

• 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Research

Industries

• Software Development and Biotechnology Research