Senior Biotech Systems Integration Engineer

Cellanome; San Diego (CA); On-site; USD 145,000 - 170,000; Full time

Benefits offered by this job

Stock options

Health plans

401(k)

Job summary

Cellanome in San Diego is seeking a Staff Systems Integration Engineer to automate and troubleshoot prototype instrument hardware and protocols, collaborating with engineers and scientists to advance our in-house platform.

You will design experiments, transfer molecular biology protocols to the new instrument, and develop AI-assisted tooling to accelerate optimization and troubleshooting with active collaboration across teams.

Qualifications

• Typically requires a minimum of 8 years of related experience with a bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of experience.
• Degree in relevant Engineering discipline or Biologic/Physical Sciences.
• Previous experience as part of commercial development teams.
• Experience working in instrumentation development and troubleshooting low-level hardware issues.
• Familiarity with wet lab molecular biology protocols and sample prep protocols.
• Solid data analysis and visualization skills.
• Working proficiency in Python (or equivalent) for scripting, data analysis, and automation.
• Hands-on use of AI tools to accelerate engineering or laboratory work.
• Excellent written and verbal communication skills.
• Attention to detail and problem-solving mindset.

Responsibilities

• Designing experiments to test prototype hardware.
• Troubleshooting issues arising at the hardware, software, consumables, and workflow interface.
• Transferring existing molecular biology and cell biology protocols to a first of its kind instrumentation platform.
• Working in close collaboration with the Engineering and Scientific teams to troubleshoot protocols and software/hardware/assay issues.
• Gathering requirements for the Engineering and Service teams.
• Using AI coding assistants to write and maintain automation, data-analysis, and instrument-control code.
• Building AI-assisted tooling to accelerate optimization, design, and failure-mode triage.
• Applying AI/ML-assisted analysis to instrument and assay data to detect drift and classify failure modes.
• Ability to lift up to 40 lbs for ~10% of day.
• Ability to travel up to 20% of working time, including overnight/weekend/international travel.

Skills

Python scripting

Data analysis

Automation tooling

AI tools experience

Communication skills

Problem solving

Documentation

Education

Bachelor's degree in Engineering or Biologic/Physical Sciences

Master's degree in related field

PhD in related field

Tools

Instrumentation hardware

Data visualization tools

Job description

Cellanome in San Diego is seeking a Staff Systems Integration Engineer to automate and troubleshoot prototype instrument hardware and protocols, collaborating with engineers and scientists to advance our in-house platform.

You will design experiments, transfer molecular biology protocols to the new instrument, and develop AI-assisted tooling to accelerate optimization and troubleshooting with active collaboration across teams.