What are the responsibilities and job description for the Engineer position at Teiko?
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.
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 TypeScript, Python), and the selected candidate will get exposure to full-stack development.
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 you to:
- Process and analyze clinical-trials spectral flow and mass cytometry datasets
- 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
- 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
- Proven experience building production-level software that works. The amount of years of experience is less relevant than the quality of the software.
- No degree required, but proficiency usually demonstrated by 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 relevant degree, your resume should demonstrate a mastery of concepts.
- Nice-to-have experience:
- -- Designing analytical pipelines
- -- 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.
- 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