Bioinformatics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Engineer on a contract basis, offering a pay rate of "unknown" and requiring 2-3 years of experience. Key skills include Python, FastAPI, cloud platforms, and molecular modeling tools, with a preferred background in biotech or pharmaceuticals.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Foster City, CA
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🧠 - Skills detailed
#Database Architecture #Visualization #Database Schema #Cloud #Docker #Python #JavaScript #Computer Science #SQL (Structured Query Language) #Data Science #Automation #React #HTML (Hypertext Markup Language) #Metadata #Databases #Scala #NoSQL #FastAPI #AWS (Amazon Web Services) #Deployment #Web Development #Documentation #GCP (Google Cloud Platform)
Role description
Position Summary
We are 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, 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 the biotech or pharmaceutical industry settings
Position Summary
We are 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, 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 the biotech or pharmaceutical industry settings
