Lila Sciences

4 weeks ago

Co-Op, Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Join a collaborative automation-focused role to build real-time data pipelines and anomaly-detection models for an autonomous lab platform. You’ll integrate SCADA telemetry and camera data, develop operator-facing monitoring UI components, and craft alerting workflows with Automation, Software, and Robotics teams, enabling rapid diagnostics and proactive issue surfacing in life sciences and materials research.

Location: Cambridge

Workplace: Onsite

Employment Type: Internship

Job Function: Software Engineering

Key Responsibilities

•Build data pipelines that support real-time anomaly detection.
•Train detection models to identify deviations from expected operating envelopes.
•Develop alerting workflows that help operators diagnose issues quickly.
•Collaborate with Automation, Software, and Robotics teams on system integration.
•Contribute to an operator-facing UI for lab monitoring and issue surfacing.

Key Requirements

•Pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Automation, Engineering, or a related quantitative discipline, with foundational coursework in machine learning and at least one scientific domain such as biology, chemistry, or materials science.

Experience:Lab automationMachine learningData pipelines

Education:Bachelor's

Skills:PythonData pipelinesStreamingVersion controlMachine learningSCADA

Languages:English

Tech Stack:PythonSCADATime-seriesMachine learningGit

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Lila Sciences

4 weeks ago

Co-Op, Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Cambridge

Workplace: Onsite

Employment Type: Internship

Job Function: Software Engineering

Key Responsibilities

•Build data pipelines that support real-time anomaly detection.
•Train detection models to identify deviations from expected operating envelopes.
•Develop alerting workflows that help operators diagnose issues quickly.
•Collaborate with Automation, Software, and Robotics teams on system integration.
•Contribute to an operator-facing UI for lab monitoring and issue surfacing.

Key Requirements

•Pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Automation, Engineering, or a related quantitative discipline, with foundational coursework in machine learning and at least one scientific domain such as biology, chemistry, or materials science.

Experience:Lab automationMachine learningData pipelines

Education:Bachelor's

Skills:PythonData pipelinesStreamingVersion controlMachine learningSCADA

Languages:English

Tech Stack:PythonSCADATime-seriesMachine learningGit

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn