Bioinformatics Engineer

• • W2 ONLY • • Pay: $55 - $62/Hour Duration: 3 to 9 months Location: Foster City, CA - Hybrid Summary: • Seeking a highly motivated Bioinformatics Software Engineer to contribute to the development of a next-generation computational platform for antibody-based therapeutic design and assessment. • This contractor role will focus on building scalable infrastructure for molecular modeling, developability assessment, and interactive data visualization. • The ideal candidate will have strong expertise in backend development, web interface design, database architecture, and pipeline automation. Responsibilities: • Design and implement a scalable, web-based interface for antibody and multispecific modeling workflows. • Develop and optimize database schemas to manage molecular modeling data and associated metadata. • Build and maintain FastAPI-based backend services to support computational pipelines. • Integrate molecular modeling tools (e.g., MOE, Schrödinger) into automated workflows. • Collaborate closely with scientists and data science team to translate research needs into robust software solutions. • Ensure code quality through modular design, thorough documentation, and maintainability. • Support platform deployment and testing in cloud-based environments Required Qualifications: • Master’s or PhD degree in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field with 2-3 years of experience • Strong front-end development skills (e.g., React, JavaScript, HTML/CSS). • Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (e.g., Docker). • Proficiency in Python, with hands-on experience in FastAPI, SQL/NoSQL databases, and modern web development frameworks. • Experience developing automated computational pipelines for scientific applications. • Solid understanding of protein structure, antibody design, or biophysics is a plus. • Excellent communication and collaboration skills within multidisciplinary teams. Preferred Qualifications: • Familiarity with molecular modeling tools such as MOE, Schrödinger, or equivalent. • Knowledge of developability assessment metrics and antibody engineering principles. • Prior experience in biotech or pharmaceutical industry settings.