ATR International
Software Engineer in Bioinformatics
ATR International, Sonoma, California, United States, 95476
Join our client as a passionate
Software Engineer in Bioinformatics
to contribute to the development of a cutting-edge computational platform for designing and assessing antibody-based therapies. In this contract role, you will play a crucial part in building robust infrastructure for molecular modeling, assess developability, and create interactive data visualization tools. This is a unique opportunity to combine your skills in software engineering, bioinformatics, and therapeutic design, making significant contributions to transformative research in the biotech sector. Key Responsibilities Design and create scalable, web-based interfaces to streamline antibody and multispecific modeling workflows. Develop efficient database schemas for storing and managing molecular modeling data and related metadata. Build and maintain
FastAPI-based backend services
to enhance computational pipelines. Integrate molecular modeling tools (e.g., MOE, Schrödinger) into automated workflows. Work collaboratively with scientists and data experts to turn research requirements into effective software solutions. Ensure high standards of code quality through modular design, effective documentation, and maintainability practices. Assist with platform deployment and testing in
cloud-based environments . Required Qualifications Master's or PhD in
Computer Science, Bioinformatics, Computational Biology, Physics , or a comparable field, with 2-3 years of relevant experience. Strong front-end development expertise in
React, JavaScript, HTML/CSS . Experience with cloud services ( AWS, GCP ) and containerization technologies ( Docker ). Proficient in
Python , with practical knowledge of
FastAPI, SQL/NoSQL databases , and contemporary web frameworks. Proven experience in building automated computational pipelines for scientific projects. Familiarity with protein structure, antibody design, or biophysics is an advantage. Exceptional communication and teamwork abilities. Preferred Qualifications Knowledge of molecular modeling tools (such as MOE, Schrödinger, or equivalents). Understanding of antibody engineering and developability assessment. Previous experience within biotech or pharmaceutical industries is desirable.
Software Engineer in Bioinformatics
to contribute to the development of a cutting-edge computational platform for designing and assessing antibody-based therapies. In this contract role, you will play a crucial part in building robust infrastructure for molecular modeling, assess developability, and create interactive data visualization tools. This is a unique opportunity to combine your skills in software engineering, bioinformatics, and therapeutic design, making significant contributions to transformative research in the biotech sector. Key Responsibilities Design and create scalable, web-based interfaces to streamline antibody and multispecific modeling workflows. Develop efficient database schemas for storing and managing molecular modeling data and related metadata. Build and maintain
FastAPI-based backend services
to enhance computational pipelines. Integrate molecular modeling tools (e.g., MOE, Schrödinger) into automated workflows. Work collaboratively with scientists and data experts to turn research requirements into effective software solutions. Ensure high standards of code quality through modular design, effective documentation, and maintainability practices. Assist with platform deployment and testing in
cloud-based environments . Required Qualifications Master's or PhD in
Computer Science, Bioinformatics, Computational Biology, Physics , or a comparable field, with 2-3 years of relevant experience. Strong front-end development expertise in
React, JavaScript, HTML/CSS . Experience with cloud services ( AWS, GCP ) and containerization technologies ( Docker ). Proficient in
Python , with practical knowledge of
FastAPI, SQL/NoSQL databases , and contemporary web frameworks. Proven experience in building automated computational pipelines for scientific projects. Familiarity with protein structure, antibody design, or biophysics is an advantage. Exceptional communication and teamwork abilities. Preferred Qualifications Knowledge of molecular modeling tools (such as MOE, Schrödinger, or equivalents). Understanding of antibody engineering and developability assessment. Previous experience within biotech or pharmaceutical industries is desirable.