Senior Research Data Engineer

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

Full-time hybrid role based in Boston, MA

SUMMARY:

We are seeking a hands‑on, execution‑driven Senior Research Data Engineer to scale and secure HotSpot’s growing data operations infrastructure. This role serves as a vital operational bridge between our core software/cloud architecture and our computational biology and laboratory teams.

RESPONSIBILITIES:

• Lead AI & LLM Data Readiness: Architect and execute the strategy to structure, clean, and index our historical and incoming research datasets, making them fully ready for machine learning and advanced ontology initiatives.
• Automate External Data Pipelines: Own and maintain robust Python ETL pipelines, ensuring seamless automated ingestion of chemistry and biology experiments from external CROs.
• System Stewardship & Data Ops: Act as the primary technical steward for our core research platforms (including Revvity Signals ELN, Certara D360, and our internal data ingestion tool, Ladle), handling Oracle schema updates, routine database maintenance, and direct user support for our scientists.
• Bridge Science and Engineering: Partner across disciplines to help scientists map biology and chemistry workflows into production templates, serving as a data continuity bridge that translates laboratory progress into scalable data models.
• Drive Operational Follow-Through: Identify dependencies and critical paths in our data delivery pipelines, actively manage infrastructure risks, and provide clear technical context to leadership.

QUALIFICATIONS:

• Advanced Scientific Background: PhD degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative life sciences discipline and a minimum of 2+ years of relevant industry experience or a combination of post‑doctoral and industry experience; MS degree in bioinformatics or related discipline with 5+ years of relevant industry experience may be considered.
• Production‑Grade Engineering: Proven commercial or advanced hands‑on experience writing clean, maintainable Python code and advanced SQL queries. You know how to build software that stands up to production environments.
• Cloud & Database Fluency: Demonstrated experience navigating cloud environments (AWS/GCP) and managing relational database schemas (Oracle, Postgres).
• Execution‑Driven Planner: An autonomous problem‑solver who brings clarity to complex data dependencies, actively tracks technical risk, and handles firefighting or data cleaning with equal dedication.
• Excellent Communicator: Ability to synthesize complex technical data constraints across disciplines and drive follow‑through in a lean, fast‑paced startup environment.

OUR BENEFITS:

• Competitive salary and bonus plans
• Comprehensive package of benefits plans and fringe benefits
• Generous paid holidays, time off, including 2 company‑wide shutdowns
• Amazing team of supportive colleagues

EEO STATEMENT:

HotSpot is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

VISAS:

At this time, HotSpot is not able to offer Visa sponsorship for this position. Candidates must be authorized to work in the United States without current or future sponsorship.