Senior Scientific Data Engineer — AI Lab Integrations

TetraScience, Inc.; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Stock options

Employer-paid benefits

401(k)

Unlimited PTO

Flexible working

Life Insurance

Job summary

TetraScience, Inc. is hiring a senior data engineer to work with biotech and pharmaceutical customers, designing and delivering data integrations on Tetra OS.

You will lead cross-functional teams, mentor junior engineers, and translate complex scientific workflows into scalable data products. You will collaborate with product managers and solution architects, build robust data pipelines, and ensure solutions work across cloud, on-premises, and hybrid setups.

Qualifications

• 8+ years building data products as a Data Engineer or similar field.
• 8+ years working in Python and SQL with a focus on data, integrations and scientific applications.
• Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.
• History leading customer-facing implementation projects across cross-functional teams.
• Experience with non-clinical data and lab scientists.
• Familiarity with biotech and pharmaceutical industry and regulated environments such as GxP.
• Familiarity with networking, CI/CD, and full stack development.
• Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, CloudWatch.
• Excellent communication skills and ability to drive project delivery.

Responsibilities

• Own the technical relationship with a portfolio of biotech, pharma, and scientific customers.
• Design and build bidirectional integrations between Tetra OS and customer systems (ELN, LIMS, MES) and data products.
• Develop data schemas and parsers for scientific data across formats (.xlsx, .pdf, .txt, .raw, .fid).
• Deploy and test solutions in cloud, on-premises, and hybrid environments; troubleshoot stack issues.
• Collaborate with Product Managers, Solution Architects, and ML engineers to translate requirements into solutions.
• Lead design sessions and mentor junior data engineers; enforce quality with automated tests.

Skills

Python

SQL

JavaScript

TypeScript

Node.js

React

Data engineering

Tools

AWS

S3

Lambda

EC2

ECS

SQS

SNS

CloudWatch

Job description

TetraScience, Inc. is hiring a senior data engineer to work with biotech and pharmaceutical customers, designing and delivering data integrations on Tetra OS.

You will lead cross-functional teams, mentor junior engineers, and translate complex scientific workflows into scalable data products. You will collaborate with product managers and solution architects, build robust data pipelines, and ensure solutions work across cloud, on-premises, and hybrid setups.