Glocomms
Job Title:
Senior Software Engineer Location:
Remote Contract:
6 months (high possibility of extension) Start Date:
ASAP / Early January 2026
About the Role
We are partnering with an AI-enabled platform designed to support life sciences investors with portfolio optimization, diligence workflows, and value/risk modelling. They are seeking a
Senior Software Engineer
to build and lead their core platform.
Responsibilities
End-to-End Platform Ownership:
Design, build, and scale a web platform enabling deal teams to explore, upload, and analyze drug assets from discovery through valuation. Front end Architecture & UX:
Develop intuitive, data-rich interfaces using modern frameworks ( React/Next.js preferred ) for managing deal pipelines and interpreting LLM-driven insights. Backend Services & Orchestration:
Implement robust backend services and job orchestration layers ( FastAPI, Node.js ) for document ingestion, model execution, and results delivery. Data Visualization:
Create interactive components to visualize scientific assessments, risk analyses, and ML-driven insights. API & Integration:
Design and maintain clean, scalable APIs between the core LLM orchestration layer and the platform. Collaborate with ML engineers to expose model outputs as user-ready insights. Cloud Deployment & Reliability:
Deploy and monitor platform services on
AWS
(or equivalent), ensuring high availability, low latency, and secure handling of sensitive data. Collaboration & Product Thinking:
Work cross-functionally with ML engineers, product leads, and domain experts to translate scientific and business logic into actionable workflows. Continuous Improvement:
Champion best practices - automated testing, CI/CD, observability, and modular architecture - while staying current on advances in AI-driven platform development.
Required Skills & Qualifications
Bachelor's, Master's, or Ph.D. in Computer Science or related field. Full-Stack Engineering:
Proven experience building modern web applications end-to-end - from performant frontends ( React, Next.js ) to scalable backends ( FastAPI, Node.js ). Frontend Expertise:
Component-based design, state management ( Redux, React Query ), and visualization frameworks ( D3.js, Plotly ). Backend & API Development:
RESTful or GraphQL APIs, authentication/authorization, event-driven workflows, and background jobs. Database:
Experience with relational ( PostgreSQL ) and NoSQL ( MongoDB, DynamoDB ) databases. Cloud & DevOps:
AWS (or GCP/Azure), Docker, Kubernetes, Terraform, CI/CD pipelines. Security Awareness:
Best practices for secure data handling and compliance. Strong communication and collaboration skills; product-oriented mindset.
Nice to Have
Experience in healthcare, life sciences, or biopharma sectors. Familiarity with ML/LLM integration and document ingestion pipelines.
Desired Skills and Experience
React, Next.js, TypeScript, Reducx, React Query, D3.js, Plotly, FastAPI, Node.js, RESTful API, GraphQL API, OAuth2, JWT, Kafka, PostgreSQL, DynamoDB, AWS, Docker, Kubernetes, CI/CD
Senior Software Engineer Location:
Remote Contract:
6 months (high possibility of extension) Start Date:
ASAP / Early January 2026
About the Role
We are partnering with an AI-enabled platform designed to support life sciences investors with portfolio optimization, diligence workflows, and value/risk modelling. They are seeking a
Senior Software Engineer
to build and lead their core platform.
Responsibilities
End-to-End Platform Ownership:
Design, build, and scale a web platform enabling deal teams to explore, upload, and analyze drug assets from discovery through valuation. Front end Architecture & UX:
Develop intuitive, data-rich interfaces using modern frameworks ( React/Next.js preferred ) for managing deal pipelines and interpreting LLM-driven insights. Backend Services & Orchestration:
Implement robust backend services and job orchestration layers ( FastAPI, Node.js ) for document ingestion, model execution, and results delivery. Data Visualization:
Create interactive components to visualize scientific assessments, risk analyses, and ML-driven insights. API & Integration:
Design and maintain clean, scalable APIs between the core LLM orchestration layer and the platform. Collaborate with ML engineers to expose model outputs as user-ready insights. Cloud Deployment & Reliability:
Deploy and monitor platform services on
AWS
(or equivalent), ensuring high availability, low latency, and secure handling of sensitive data. Collaboration & Product Thinking:
Work cross-functionally with ML engineers, product leads, and domain experts to translate scientific and business logic into actionable workflows. Continuous Improvement:
Champion best practices - automated testing, CI/CD, observability, and modular architecture - while staying current on advances in AI-driven platform development.
Required Skills & Qualifications
Bachelor's, Master's, or Ph.D. in Computer Science or related field. Full-Stack Engineering:
Proven experience building modern web applications end-to-end - from performant frontends ( React, Next.js ) to scalable backends ( FastAPI, Node.js ). Frontend Expertise:
Component-based design, state management ( Redux, React Query ), and visualization frameworks ( D3.js, Plotly ). Backend & API Development:
RESTful or GraphQL APIs, authentication/authorization, event-driven workflows, and background jobs. Database:
Experience with relational ( PostgreSQL ) and NoSQL ( MongoDB, DynamoDB ) databases. Cloud & DevOps:
AWS (or GCP/Azure), Docker, Kubernetes, Terraform, CI/CD pipelines. Security Awareness:
Best practices for secure data handling and compliance. Strong communication and collaboration skills; product-oriented mindset.
Nice to Have
Experience in healthcare, life sciences, or biopharma sectors. Familiarity with ML/LLM integration and document ingestion pipelines.
Desired Skills and Experience
React, Next.js, TypeScript, Reducx, React Query, D3.js, Plotly, FastAPI, Node.js, RESTful API, GraphQL API, OAuth2, JWT, Kafka, PostgreSQL, DynamoDB, AWS, Docker, Kubernetes, CI/CD