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Vesalius Therapeutics

AI-driven drug target discovery platform

Senior Automation Engineer - Platform Biology

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A bachelor's or master's degree in computer science, engineering, bioengineering, biomedical engineering, computational biology or a related field, or a life science degree with a demonstrated programming record.
  • At least 4 years building software, tooling or data infrastructure in a laboratory or research and development setting, including accountability for a system other people depended on daily.
  • Strong Python and SQL skills, including joins, aggregates, common table expressions and window functions.
  • Hands-on experience with a laboratory information management system or electronic laboratory notebook and its application programming interface; Benchling is preferred, while Sapio, Dotmatics, LabVantage or similar systems also qualify.
  • Experience shipping and operating a web application, including a REST API, a front end for other users, authentication, deployment and maintenance.
  • Experience with laboratory data flow, including sample registration, experiment creation, instrument output capture and attaching results back to samples.
  • Ability to own a domain independently while working alongside scientific and hardware support.
  • Strong communication and documentation skills and ability to work across scientific, automation, IT and data teams.

Responsibilities

  • Implement Benchling as a data platform, including entity schemas, the Postgres warehouse, Insights, the API and supporting integrations.
  • Establish end-to-end sample tracking and chain of custody from donor material through line, vial, thaw, run and instrument output, with links that associate results with originating samples.
  • Deliver analysis-ready data to the data team through structured metadata capture, stable identifiers, documented schemas and reliable handoffs.
  • Identify gaps in commercial software and design, ship and operate REST APIs and internal web applications, such as a results parser, scheduling interface or Benchling integration app.
  • Build integrations between automation platforms, instruments, laboratory information management systems and electronic laboratory notebooks, imaging systems, databases and downstream data pipelines.
  • Build tools that scientists can use independently, including search interfaces, pull lists and capacity dashboards.
  • Investigate and resolve discrepancies, such as inventory that does not reconcile after a migration, and build checks to detect issues earlier.
  • Apply software engineering practices including version control, testing, debugging, modular design and maintainable documentation.
  • Partner across scientific, automation, IT and data teams to bridge experimental work and the systems that record it.
  • Anticipate future data and integration needs and learn new systems as the platform evolves.

Desired Qualifications

  • Experience with Benchling entity schemas, the warehouse, Insights, the developer platform, webhooks or apps.
  • Experience parsing instrument output from plate readers, imagers or sequencers into structured results tied to a sample.
  • Experience with cloud infrastructure such as AWS, event-driven integrations or data pipelines supporting automated laboratory environments.
  • Experience working alongside automated liquid handlers, integrated workcells or laboratory scheduling software such as Hamilton, Tecan, HighRes Biosolutions, Dynamic Devices or Beckman, as an integrator rather than a programmer.
  • Mammalian cell culture experience at the bench, especially iPSC systems, and aseptic technique.
  • Prior experience in an automation-heavy laboratory environment.
  • Ability to troubleshoot across software, hardware, instrument communication, data and sample-tracking workflows.
  • Experience mentoring or growing a small team.
  • Experience in a regulated or GxP-adjacent environment or writing validation and verification documentation.

About the Company

Vesalius Therapeutics

AI-driven drug target discovery platform

Vesalius Therapeutics develops drugs for common diseases using its ContinuumDiscovery platform. The platform combines data science, artificial intelligence, and machine learning to identify distinct patient subgroups and the combined effects of multiple genes, then finds optimal drug targets to reverse disease in those groups. It also uses proprietary patient-derived, cell-based models to screen and characterize drug candidates. Unlike traditional approaches that treat common diseases as single conditions, Vesaliusus views them as a collection of genetically and biologically different subtypes, and it targets these unique characteristics with tailored drug development. The company aims to develop and commercialize novel therapies that address these genetic and biological differences to improve patient outcomes.

Company size
11-50
Company stage
Series A
Total funding
$75M
Headquarters
Cambridge, MA
Founded
2019

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