Bioinformatics Engineer

Dawar Consulting•San Mateo, CA

1d•Hybrid

About The Position

The Bioinformatics Engineer will develop next-generation computational platforms supporting antibody-based therapeutic design and assessment. The role combines Python software development with scientific workflow automation, backend and frontend development, database management, and support for HPC and cloud environments. It is a long-term contract role with the possibility of extension, based in Foster City, California, with a hybrid work arrangement.

Requirements

Bachelor's or master's degree in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field; PhD candidates are also welcome.
0–3 years of relevant experience; PhD candidates are also welcome.
Strong Python programming and scientific software development experience.
Hands-on experience with FastAPI, REST APIs, SQL/NoSQL databases, and database design.
Experience with Nextflow or similar workflow orchestration tools.
Knowledge of HPC environments and SLURM workload scheduling.
Frontend development experience with React, JavaScript, HTML, and CSS or equivalent technologies.
Experience with Docker, Git, and modern software development practices.
Familiarity with AWS, GCP, or other cloud platforms.

Nice To Haves

Experience with protein structure analysis, antibody design, computational biophysics, or molecular modeling.
Familiarity with MOE, Schrödinger, or similar molecular modeling tools.
Knowledge of antibody developability and biologics discovery workflows.
Experience using AI-assisted coding tools for software development and prototyping.
Previous experience in biotechnology or pharmaceutical environments.

Responsibilities

Develop scalable web applications and interfaces for computational biology and antibody design workflows.
Build and maintain Python-based backend services and REST APIs using FastAPI.
Design and optimize SQL and NoSQL databases for scientific data and computational results.
Develop and automate scientific pipelines using Nextflow, Docker, and workflow orchestration tools.
Support computational workflows in HPC environments using SLURM and cloud platforms.
Integrate databases, APIs, computational pipelines, and interactive data visualization tools.
Develop and maintain software using Git, testing frameworks, documentation, and modular coding practices.
Use AI-assisted development tools for rapid prototyping, testing, and application development.