Senior Research Data Engineer — AI Readiness & Data Ops

HotSpot Therapeutics, Inc; Boston (MA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary and bonus plans

Comprehensive benefits package

Generous paid holidays

Supportive team environment

Job summary

HotSpot Therapeutics, Inc is seeking a Senior Research Data Engineer in Boston, MA for a full-time hybrid role.

In this position, you will lead efforts in structuring and cleaning research data, automate data pipelines, and collaborate closely with scientists to enhance data operations.

The ideal candidate will have a strong scientific background with experience in Python programming and cloud environments.

Qualifications

• PhD degree in Bioinformatics, Computational Biology, Computer Science, or a related discipline.
• Minimum of 2+ years of relevant industry experience.
• Proven hands-on experience writing clean, maintainable Python code and advanced SQL queries.
• Experience navigating cloud environments (AWS/GCP) and managing relational databases.
• Ability to synthesize complex technical data constraints across disciplines.

Responsibilities

• Architect and execute the strategy to structure, clean, and index research datasets.
• Own and maintain robust Python ETL pipelines for data ingestion.
• Act as the primary technical steward for core research platforms.
• Partner across disciplines to help scientists map biology and chemistry workflows.
• Identify dependencies in data delivery pipelines and manage risks.

Skills

Python programming

SQL queries

Cloud environments (AWS/GCP)

Data pipeline automation

Education

PhD in Bioinformatics or related field

MS in Bioinformatics or related field

Tools

Oracle

Postgres

Job description

HotSpot Therapeutics, Inc is seeking a Senior Research Data Engineer in Boston, MA for a full-time hybrid role.

In this position, you will lead efforts in structuring and cleaning research data, automate data pipelines, and collaborate closely with scientists to enhance data operations.

The ideal candidate will have a strong scientific background with experience in Python programming and cloud environments.