Senior Data & Integrations Engineer - Lab Systems (Hybrid)

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

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.