Staff Scientific Data Engineer

Insilico Search Partners; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

Insilico Search Partners in Cambridge, MA is seeking a Senior Scientific Data Engineer to lead the scientific data engineering practice. You will own the data layer turning fragmented instrument, lab, and manufacturing data into clean, AI-ready assets for top life sciences organizations.

This hands-on role combines architecture, mentorship, and delivery leadership, with responsibility for designing production data pipelines, implementing tests, and collaborating with product managers,

Qualifications

• 8+ years building data products as a data engineer or in a closely related role.
• 8+ years of Python and SQL in a data-focused capacity.
• Experience leading customer-facing implementation projects across cross-functional teams.

Responsibilities

• Build schemas, parsers, and integration solutions for pre-clinical scientific data from R&D lab instruments, manufacturing systems, CROs, CDMOs, ELNs, and LIMS — including messy vendor formats like .raw, .fid, .xlsx, .pdf, and proprietary binaries
• Use AI agents to accelerate schema and parser development, then extract the reusable components into productized Python libraries
• Design and build production data pipelines with full unit and integration test coverage
• Build data applications, reports, and dashboards in React, Streamlit, and Jupyter
• Partner with product managers, solution architects, business analysts, and ML engineers to translate customer requirements into shipped solutions

Skills

Python

SQL

Data engineering

Leadership

Cross-functional collaboration

Pre-clinical data

Visualization

Tools

React

Streamlit

Jupyter

Job description

Location: Cambridge, MA - Onsite 3 days a week

Type: Full-time

A well-funded scientific data and AI company is hiring a Senior Scientific Data Engineer to lead its scientific data engineering practice.

You will own the data engineering layer that turns fragmented instrument, lab, and manufacturing data into clean, usable, AI-ready assets for the world's leading life sciences organizations. This is a hands-on senior role with real technical authority: you will architect solutions, lead design sessions, set the quality bar, and mentor a growing team of data engineers.

If you have spent your career building data products and want that work pointed at drug discovery, development, and manufacturing, this is that job.

What You'll Do

• Build schemas, parsers, and integration solutions for pre-clinical scientific data from R&D lab instruments, manufacturing systems, CROs, CDMOs, ELNs, and LIMS — including messy vendor formats like .raw, .fid, .xlsx, .pdf, and proprietary binaries
• Use AI agents to accelerate schema and parser development, then extract the reusable components into productized Python libraries
• Design and build production data pipelines with full unit and integration test coverage
• Build data applications, reports, and dashboards in React, Streamlit, and Jupyter
• Partner with product managers, solution architects, business analysts, and ML engineers to translate customer requirements into shipped solutions

What You Bring

• 8+ years building data products as a data engineer or in a closely related role
• 8+ years of Python and SQL in a data-focused capacity
• Track record leading projects: owning requirements, timelines, and delivery milestones
• Experience running multiple customer-facing implementation projects across cross-functional teams
• Hands-on experience with pre-clinical or lab data, and working directly with scientists
• Dashboarding and visualization experience with React and/or Streamlit

Why This Role

• Genuine technical ownership — you set the architecture, not just implement it
• Work at the front of the AI-native data curve, with agent-assisted engineering as part of the daily toolkit
• Direct line of sight from your pipelines to research that reaches patients
• Strong partner ecosystem and a company operating at real scale in life sciences