Biotech
AI
Analytics
BIORA PARTNERED WITH MAYBEWORKS TO DEVELOP A SECURE, INTERNAL PLATFORM THAT EMPOWERS SCIENTISTS TO PERFORM COMPLEX BIOINFORMATICS RESEARCH WITHOUT WRITING CODE. BUILT FOR NON-DEVELOPERS, THIS SYSTEM COMBINES AI-POWERED TOOLS, A ROBUST BACKEND, AND USER-FRIENDLY DESIGN TO SIMPLIFY BIOMEDICAL ANALYSIS.
Biora is a private biotech company working at the intersection of healthcare and data science. With a team of biomedical researchers and healthcare scientists, they needed an internal tool to streamline data analysis, eliminate reliance on external developers, and empower experts to conduct complex research using intuitive, no-code workflows.
Location: USA
Biora set out to develop an internal no-code research platform to empower biomedical teams with AI-driven tools for literature review and data analysis — without the need for programming expertise. To support this vision, they needed a robust backend partner to design secure architecture, manage large genomic datasets, and ensure smooth, scalable performance.
Build a scalable backend using Python and Django to manage AI pipelines and user workflows.
Design and optimize PostgreSQL schemas for structured and unstructured biomedical data.
Integrate AI tools for literature review, file parsing, and Python code generation.
Ensure secure access and data isolation for internal teams.
How MaybeWorks organised the work:
After receiving the client's request, we scheduled a call to discuss the project's goals, and specific requirements. This allowed us to clarify key details, understand challenges, and align on expectations for the collaboration.
Using the collected information, we selected the best fit from our in-house team and managed the onboarding process ourselves.
The developer joined the project a week after the client contacted us, which allowed us to start work quickly and maintain the momentum of incremental growth.
Our outstaff manager monitored the developer's performance to ensure consistent results.
If necessary, and with the client's approval, our technical leaders were involved to solve complex problems.
We provided direct communication with the developer via Slack, while task tracking and scheduling were carried out in Jira.
Request and briefing
After receiving the client's request, we scheduled a call to discuss the project's goals, and specific requirements. This allowed us to clarify key details, understand challenges, and align on expectations for the collaboration.
Developer selection and onboarding
Using the collected information, we selected the best fit from our in-house team and managed the onboarding process ourselves.
Connecting with the client's team
The developer joined the project a week after the client contacted us, which allowed us to start work quickly and maintain the momentum of incremental growth.
Supervision of productivity
Our outstaff manager monitored the developer's performance to ensure consistent results.
Technical assistance
If necessary, and with the client's approval, our technical leaders were involved to solve complex problems.
Coordination tools
We provided direct communication with the developer via Slack, while task tracking and scheduling were carried out in Jira.
Execution period
16 months
Technology stack
Frontend:
React
Backend:
Python, Django
Other:
PostgreSQL, AWS, AI
Provided resources
1 Back-end Developer
Provided resources
1 Back-end Developer
Technology stack
Frontend:
React
Backend:
Python, Django
Other:
PostgreSQL, AWS, AI
Ready to grow your team just as fast?
We'll select the perfect developer from our in-house team to sustain and boost the incremental growth of your project. Shall we discuss your tasks and requirements?
MaybeWorks delivered a secure, scalable backend that powers Biora’s internal research platform with precision. Built on Django and PostgreSQL, the backend supports AI-driven workflows for literature review and genomic data analysis.
Backend architecture.
Designed a modular, scalable backend using Django to support evolving research needs.
Database design.
Structured PostgreSQL schema to efficiently manage complex biomedical and genomic data.
AI workflow integration.
Enabled seamless communication between backend and AI components for tasks like literature analysis and gene file processing.
Secure data handling.
Implemented robust authentication and data protection measures to safeguard sensitive research inputs.
MaybeWorks IT outstaffing: smarter sales, stronger relationships
Partnering with Biora, we delivered a robust backend foundation for their internal no-code research platform — empowering healthcare professionals to explore biomedical data without writing code. From AI-powered literature review to genomic data analysis, our Django-based solution ensures secure, scalable performance. Today, Biora’s platform enables faster, more accessible research across teams.
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