Overview
On Site
$DOE
Accepts corp to corp applications
Contract - W2
Contract - to 01/19/2026
Skills
FOCUS
Data Visualization
Backend Development
Interface Design
Database Architecture
Management
Meta-data Management
Workflow
Data Science
Research
Documentation
Testing
Computer Science
Bioinformatics
Biology
Physics
Frontend Development
React.js
JavaScript
HTML
Cascading Style Sheets
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Docker
Python
SQL
NoSQL
Database
Web Development
Biophysics
Communication
Collaboration
Modeling
Pharmaceutical Industry
Job Details
Job Title: Bioinformatics Software Engineer - Antibody Modeling
Location: Foster City, CA - Hybrid
Duration: 3 to 9 months
Location: Foster City, CA - Hybrid
Duration: 3 to 9 months
Position 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.
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, Schr dinger) 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
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, Schr dinger) 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, Google Cloud Platform) 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.
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, Google Cloud Platform) 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, Schr dinger, or equivalent.
Knowledge of developability assessment metrics and antibody engineering principles.
Prior experience in biotech or pharmaceutical industry settings.
Familiarity with molecular modeling tools such as MOE, Schr dinger, or equivalent.
Knowledge of developability assessment metrics and antibody engineering principles.
Prior experience in biotech or pharmaceutical industry settings.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.