Informatics Engineer

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Hybrid work model

Competitive benefits

Job summary

Scorpion Therapeutics in Cambridge, MA seeks an Informatics Engineer to build the scientific data and computing platform powering gene editing programs. You will connect NGS instruments, Benchling, and AWS, ensuring provenance, scalable storage, and observability.

You will ship APIs, SDKs, and tools for genomic data analytics, while orchestrating automated, event-driven pipelines and AI-powered capabilities for internal workflows.

Qualifications

• 5+ years engineering in production environments with science data.
• Strong Python and production AWS experience.
• IaC with Terraform or CDK; Docker and CI/CD practices.
• Experience with life-science or regulated data.

Responsibilities

• Design and build a data platform connecting NGS, Benchling, and AWS.
• Develop APIs, SDKs, and internal tools for genomic data analytics.
• Create an orchestration layer for scalable pipeline execution.
• Ship AI-powered capabilities and RAG over internal data.
• Integrate ELNs, LIMS, instrument software with cloud compute.
• Translate scientific requirements into reliable production software.
• Collaborate with scientists to optimize performance, cost, reliability.

Skills

Python

AWS

Docker

Git

CI/CD

Terraform or CDK

Education

MS/PhD in CS or life sciences

Bachelor's degree in CS or related field

Tools

Benchling

Nextflow/Seqera

PostgreSQL / MSSQL

Job description

About The Role

• We’re hiring an Informatics Engineer to build the scientific data and computing platform that powers Prime Medicine’s gene editing programs.

What You’ll Do

• Design and build the data platform connecting NGS instruments, Benchling, and AWS compute (automated ingestion, provenance tracking, scalable storage, observability).
• Build production-grade APIs, SDKs, and internal tools for genomic data and analytics.
• Build an orchestration layer for automated, event-triggered execution of scientific pipelines; own how they run, scale, and integrate.
• Ship AI-powered and agentic capabilities (RAG over internal scientific data, human-in-the-loop workflows, internal copilots).
• Build integrations across ELNs, LIMS, instrument software, and cloud compute.
• Translate scientific requirements into reliable, maintainable software; move prototypes into production.
• Partner with computational biologists, lab scientists, and cloud-support to improve performance, cost, and reliability.

Requirements

• 5+ years (3+ with MS/PhD) engineering experience in production environments.
• Strong Python.
• Production AWS: event-driven, cloud-native (AWS Lambda, EventBridge or equivalent) and Infrastructure as Code (Terraform or CDK).
• Docker/containerization; Git; CI/CD; testing in DEV/TEST.
• Track record building integrations/automations; experience in life-science with scientific/regulated data.

Nice to have

• NGS expertise; workflow orchestration (Nextflow/Seqera); Benchling/ELN/LIMS.
• AI/LLM tooling (LangChain, LangGraph, RAG, MCPs); gene editing familiarity (CRISPR/base/prime).
• GxP/21 CFR Part 11; internal app/data viz tools; relational DBs (PostgreSQL/MSSQL).

Interview process

• Recruiter call, hiring manager interview, and panel; includes a Python coding exercise.

Logistics

• Hybrid (Cambridge, MA). No visa sponsorship; US work authorization required.
• Competitive base salary, equity, and standard benefits; eligible for annual short- and long-term incentives.