Bioinformatics Software EngineerSpectraforce Technologies • San Mateo, CA, United States
Bioinformatics Software Engineer
Spectraforce Technologies • San Mateo, CA, United States
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job_description.job_card.job_descriptionMaster'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. Familiarity with molecular modeling tools such as MOE, Schrodinger, or equivalent. Knowledge of developability assessment metrics and antibody engineering principles. Prior experience in biotech or pharmaceutical industry settings.
Job Title : Bioinformatics Software Engineer
Location : Foster City, CA - Hybrid
Duration : 3 to 9 months
Position Summary
Client is 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.
Key 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, Schrodinger) 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
Preferred Qualifications
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Software Engineer • San Mateo, CA, United States
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