Engineering Internship

Our mission is to make immune measurement a reality for clinical trials and patients. If we achieve this mission, we will put 100+ years back on the clock for drug developers, physicians and patients, and unlock a multi-billion dollar market opportunity. You wouldn’t run an Ozempic trial without a weight scale; and our aim is that you wouldn’t run an immunotherapy trial without Teiko.

We use high-dimensional cytometry to measure the immune state of patients on trial in our Clinical Laboratory Inspection Amendment (CLIA)-registered lab. We’re powering immunotherapy development for $B drug developers and have dozens of happy customers. This role is intended for someone interested in working at the intersection of immunology, data science, and high-speed lab operations.

We’re seeking an intern for our engineering team. You'll learn how real-life experimental data moves from laboratory instruments to computational analysis while contributing to active clinical trials.

Sounds interesting to you? Read on.

About you

• Excited about taking on the challenge of analyzing large-scale cytometry datasets
• Motivated to build tools to help life-changing therapies reach patients
• Excited to tackle ground-floor challenges and work with a proven entrepreneurial and engineering team

Responsibilities

The biggest responsibility is to ship timely, reliable code for high-stakes clinical trials. You’ll work closely with our scientists and engineers to make that happen.

More specifically, we’re looking for for you to:

• Assist in processing and analyzing spectral flow and mass cytometry datasets
• Implement machine learning techniques to automate boundary detection for cellular populations, also known as “gating” in cytometry
• Shadow laboratory operations to understand the complete workflow from sample preparation to data analysis
• Develop analysis methods (and integration testing) to implement production-quality code for data processing and analysis of high-dimensional cytometry data
• Design and implement interactive visualizations and reports for high-dimensional cytometry data
• Implement site reliability tools to enable agile software development
• Collaborate with software engineers and immunologists to build client-facing dashboards and internal systems
• Contribute to product development and customer success

Experience

No degree required, but proficiency usually demonstrated by progress towards a Bachelor/Master’s in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related discipline. If you are not working towards a relevant degree, your resume should demonstrate a mastery of concepts.

• Nice-to-have experience:
  • Building production-level software
  • Designing analytical pipelines
  • Building customer-facing dashboards
  • Familiarity with large scale complex scientific datasets. For example high-parameter genomics, mass cytometry, climate data, social media, microscopic imaging, etc.
• Very good-to-have experience:
  • Proficiency or exposure to commonly used languages: Python, R
  • Experience with cloud computing platforms (AWS, GCP, Azure)
  • Experience with best practices in software development, including readable code, version control, unit tests, integration testing, continuous integration, continuous deployment