Sr. Scientific Software Engineer, Data & Integrations

Insilico Search Partners; Boston (MA); Hybrid; USD 140,000 - 220,000; Full time

Job summary

Insilico Search Partners is seeking a Senior Scientific Software Engineer for Data & Integrations. The role is hybrid, based in Boston, MA or New York, NY, and full-time, offering a salary range of $140K–$220K.

You will join a forward deployed engineering team building integrations, parsers and data apps that connect lab instruments to our platform, collaborating with biotech teams and deploying in cloud, on-prem and hybrid environments.

Qualifications

• 8+ years of professional software engineering experience focused on data and integrations.
• Strong Python, TypeScript/Node, React and SQL skills.
• Experience parsing complex data formats and building integrations/connectors.

Responsibilities

• Build bidirectional integrations with customer systems (ELN, LIMS, MES, historians).
• Write parsers and schemas for instrument and lab data across formats like xlsx, pdf, binary.
• Develop full-stack data applications in Python and TypeScript (Node, React).
• Use AI coding agents to build and test integrations while owning architecture and quality.
• Deploy and troubleshoot in customer cloud, on-prem and hybrid environments with tests.
• Mentor junior engineers and own the technical relationship with customers.

Skills

Python

TypeScript

Node.js

React

SQL

AWS

CI/CD

Data integration

Communication

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

REST APIs

Serverless

AWS S3

AWS Lambda

ECS

SQS

SNS

CloudWatch

Job description

Senior Scientific Software Engineer, Data & Integrations

Hybrid | Boston, MA or New York, NY | Full-Time | $140K–$220K

About the Company

A VC-backed scientific data and AI software company helping leading life sciences organizations turn fragmented lab and manufacturing data into AI-ready assets and automated workflows.

The Role

You’ll join our forward deployed engineering team as a senior, hands-on software engineer, building the integrations, parsers and data applications that connect customers’ lab instruments and scientific systems to our platform. You’ll work directly with biotech and pharma teams, ship production software into real lab environments, and use AI coding agents to move faster without lowering the quality bar.

What You’ll Do

• Build bidirectional integrations with customer systems (ELN, LIMS, MES, historians) using serverless pipelines and stateful connectors.
• Write parsers and schemas for instrument, CRO and CDMO data across formats from .xlsx and .pdf to proprietary vendor binaries.
• Build full-stack data applications in Python and TypeScript (Node, React).
• Use AI coding agents (e.g., Claude Code, Codex) to build and test integrations and parsers, while owning architecture and quality.
• Deploy and troubleshoot in customer cloud, on-prem and hybrid environments, backed by automated tests.
• Own the technical relationship with customers, partner with product and solution architects, and mentor junior engineers.

What You Bring

• 8+ years of professional software engineering, focused on data, integrations and scientific or technical applications.
• Expert Python, solid TypeScript/Node and React, and strong SQL.
• Experience parsing complex, proprietary or binary file formats and instrument data.
• Experience building integrations and connectors: REST APIs, event-driven and serverless patterns, queues.
• Hands-on AWS (S3, Lambda, ECS, SQS, SNS, CloudWatch), CI/CD and networking familiarity.
• A track record of leading customer-facing implementation projects, plus day-to-day use of AI coding tools with sound judgment.
• Strong communication and the confidence to own delivery.
• Preferred: lab or scientific data experience (ELN/LIMS, instrument or chromatography data systems, MES, historians) and familiarity with GxP environments.