Senior Data Engineer - Small Molecule Drug Discovery

HotSpot Therapeutics, Inc.; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and bonus plans

Generous benefits

Job summary

HotSpot Therapeutics, Inc. is seeking a hands-on Senior Research Data Engineer (Small Molecule Drug Discovery) to scale data operations and secure production-grade data pipelines.

You will bridge core software/cloud architecture with computational biology and laboratory teams, aligning data strategies with product goals. You will partner with the Senior Data Engineer to eliminate single points of failure, automate data ingestion from external CROs, and translate biology progress into scalable

Qualifications

• PhD with 2+ years in industry or MS with 5+ years in quantitative life sciences
• Proven production-grade Python and advanced SQL experience
• Cloud experience in AWS or GCP with relational databases
• Comfort translating biology workflows into scalable data models
• Strong written and verbal communication for cross-disciplinary teams

Responsibilities

• Lead AI & LLM data readiness for research datasets across chemistry/biology
• Automate Python ETL pipelines for external CRO data ingestion
• Maintain data platforms and handle Oracle/ Postgres schemas
• Bridge science and engineering to production data templates
• Identify dependencies, manage risks, and report to leadership

Skills

Python

SQL

Cloud architectures

Data modeling

Communication

Education

PhD in Bioinformatics/Computational Biology/CS

MS in bioinformatics with 5+ years experience

Tools

Oracle

Postgres

AWS

GCP

ELN/DB tools

Job description

At HotSpot Therapeutics, nature is inspiring us to create a wave of new medicines. Through a proprietary technology platform, we are uncovering privileged allosteric sites used by nature to control proteins – called regulatory hotspots – that can be exploited through small molecule drug discovery. Regulatory hotspots are allowing sought-after targets to be drugged for the first time while delivering molecules with exquisite selectivity and attractive drug-like properties. Hotspot is supported by a syndicate of leading healthcare investors based in the US and Europe.

You will be joining a seasoned team of drug hunters with an excellent track record in drug discovery. At HotSpot, we're not just looking for the brightest minds or for the most brilliant individual contributors. We want passionate team members who are comfortable adjusting their lens, aren't afraid to think big, test bold ideas, and celebrate collective wins. We have established core values that resemble who we are and define our company culture. We are building a company where values drive everything we do inside and outside the organization:

#Courageous Adventurers #Leave your Mark #Keep it Human #Make it Real

SUMMARY:

We are seeking a hands-on, execution-driven Senior Research Data Engineer (Small Molecule Drug Discovery) 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. You will partner closely with our Senior Data Engineer to drive alignment, eliminate single points of failure, and establish an automated, production-grade data paradigm that accelerates our drug discovery workflows.

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:

We believe that people are our greatest resource and foster a supportive environment that provides growth and development for all teammates. We recognize and reward performance and incentivizes long-term success. From benefits that focus on your health and well-being to competitive compensation to ownership in the company, we want to inspire our employees.

Our Benefits Include, But Are Not Limited To:

• 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

At HotSpot, we have a bold mission to establish new drug discovery paradigm. If this appeals to you, please let us know at [e-mail].

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

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.