Bioinformatics Engineer: Clinical Cytometry & ML Dashboards

teiko ingeniería ltda.; Salt Lake City (UT); On-site; USD 120,000 - 180,000; Full time

Job summary

Teiko is building the Artificial Immunologist. We operate at the intersection of immunology, data science, and high-speed lab operations, using a modern React/TypeScript and Python stack.

You will analyze real experimental data from lab instruments and contribute across the full stack. The role emphasizes shipping reliable code for clinical trials and diagnostics, collaborating with scientists and engineers, and applying ML techniques for cytometry data analysis within a fast-growing biotech

Qualifications

• Bachelor/Master’s in computer science or computer engineering, or PhD in bioinformatics, computational biology, immunology, or related field.
• Proven production-level software experience; emphasis on code quality.
• Proficiency in Python.

Responsibilities

• Ship timely, reliable code for clinical trials and diagnostic applications.
• Process and analyze high-dimensional cytometry datasets.
• Design interactive front-end visualizations and dashboards.
• Collaborate with scientists and engineers to deliver production-quality data processing.
• Implement ML techniques for automated gating and data analysis.
• Contribute to product development and customer success.

Skills

Python

React

TypeScript

Data Analysis

Machine Learning

Education

Bachelor’s or Master’s in Computer Science or Computer Engineering, or PhD in bioinformatics, computational biology, immunology

Tools

React

TypeScript

Python

Job description

Teiko is building the Artificial Immunologist. We operate at the intersection of immunology, data science, and high-speed lab operations, using a modern React/TypeScript and Python stack.

You will analyze real experimental data from lab instruments and contribute across the full stack. The role emphasizes shipping reliable code for clinical trials and diagnostics, collaborating with scientists and engineers, and applying ML techniques for cytometry data analysis within a fast-growing biotech