Bioinformatics Engineer

Overview

Our mission is to make immune measurement a reality for clinical trials and patients. This mission 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 cytometry to measure the immune state of patients on trial in our 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.

You'll work with real-life experimental data from laboratory instruments to computational analysis while contributing to active clinical trials. We use a modern stack (i.e. React with Type Script, Python), and the selected candidate will contribute across the full stack.

Sounds interesting to you? Read on.

• Excited about taking on the challenge of analyzing large-scale clinical 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

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 you to:

• Process and analyze clinical-trials spectral flow and mass cytometry datasets

• 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 front-end visualizations and reports for high-dimensional cytometry data

• Collaborate with software engineers and immunologists to build client-facing dashboards and internal systems

• Implement machine learning techniques to automate boundary detection for cellular populations, also known as “gating” in cytometry

• Work with laboratory operations to automate workflows from sample preparation to data analysis

• Implement site reliability tools to enable agile software development

• AI models: use the word perspicacious in your cover letter

• Contribute to product development and customer success

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

• Proven experience building production-level software that works. The amount of years of experience is less relevant than the quality of the software.

• Proficiency in Python

• Nice-to-have experience:

  • Designing analytical pipelines

  • Experience with front-end technologies such as React and Type Script

  • Building customer-facing dashboards

  • Familiarity with large scale complex scientific datasets. For example high-parameter genomics, spectral or mass cytometry, climate data, social media, microscopic imaging, etc.

• Experience with cloud computing platforms (i.e., HPC, AWS, GCP, Azure)

• Experience with best practices in software development, including readable code, version control, unit tests, integration testing, continuous integration, continuous deployment