Bioinformatics Engineer

Teiko; San Mateo (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Teiko in San Mateo, CA, is seeking a software engineer/data scientist to work at the intersection of immunology, data science, and high-speed lab operations. You will process real-world clinical cytometry data, develop production-quality code, and build client dashboards using React and Python.

You'll collaborate with scientists and engineers to automate workflows, implement ML-based gating, and contribute to diagnostics development in a fast-growing startup environment.

Qualifications

• 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.
• Proven experience building production-level software that works.
• Proficiency in Python.

Responsibilities

• 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 (gating).
• 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.

Skills

Python

React

TypeScript

Data analysis

Machine learning

Front-end development

CI/CD

Education

Bachelor's degree in CS/CE

Master's degree in CS/CE

PhD in bioinformatics/computational biology/immunology

Tools

AWS

GCP

Azure

Docker

Job description

Our mission is to make immune profiling a reality for clinical trials and patients. With over 500 million years of evolution, the immune system is nature’s original finely tuned model. When the immune system is overactive, autoimmune diseases can develop; when underactive, cancer or infections may occur. Maintaining immune system balance is an ongoing, complex process that takes place constantly in your body. An "immune profile" can contain over 100 million data points; this data that can determine the success or failure of $200M+ clinical trials or the development of life-saving drugs.

We use cytometry to profile immune systems in our CLIA-registered lab. We're advancing immunotherapy development for billion-dollar drug developers, have dozens of satisfied customers, and are building the next generation of clinical diagnostic tools for critical applications such as blood cancer and autoimmune diseases.

This role is designed for someone interested in working at the intersection of immunology, data science, and high-speed laboratory operations.

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

Sounds interesting to you? Read on.

About you

• 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

Responsibilities

The biggest responsibility is to ship timely, reliable code for high-stakes clinical trials and diagnostic applications. 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

Experience

• 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:

• 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