Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong employer brand, generalist full-stack title, metro location, and broad skillset requirements increase competition.
Core full-stack skills are transferable, but biotech and computational biology familiarity increases domain sensitivity.
Mandatory deep expertise in Java, Python, frontend frameworks, CI/CD, Docker and Kubernetes increases shortlist strictness.
Own design and implementation of scalable, cloud-native, full-stack applications for scientific workflows.
Deliver production-grade AI/ML data products and innovate user experiences that accelerate drug discovery.
Collaborate cross-functionally and contribute to architecture, platform reliability, and agile software practices.
Experience designing end-to-end full stack software in cloud environments.
Proficiency in Java and Python; additional languages like C++, Node.js advantageous.
Experience with major web frameworks (e.g., Spring, Flask, Django) and front-end frameworks (React, Angular, Vue.js).
Work Experience Required: Not explicitly mentioned in the JD.
Strong software engineering background with expertise across full stack layers including cloud-native architectures.
Comfortable working in interdisciplinary teams intersecting software, data science, and scientific users, focusing on drug discovery domain.
Experienced with modern CI/CD, containerization (Docker, Kubernetes), and software engineering best practices including automated testing and code reviews.