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Strong employer brand, generalist mid-level fullstack title, and metro location increase candidate competition.
Core fullstack skills are transferable across industries, though life-sciences domain expertise is advantageous.
Explicit 5+ years and mandatory backend/frontend, AWS, database, and Databricks experience raises shortlisting strictness.
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Design, develop, and maintain full stack web applications with responsive front-end and robust backend services, ensuring end-to-end functionality and scalability.
Integrate and deploy AI-augmented features using Generative AI and Large Language Models to enhance application capabilities and user experience.
Collaborate with cross-functional teams to build data pipelines, manage AWS cloud services, and deliver data-driven solutions impacting Clinical Trial Execution, Biostatistics, and Clinical Data Management functions.
5+ years of experience as a full stack software developer with expertise in both frontend and backend technologies.
Proficiency in Python and/or Node.js for backend services and React or Angular for frontend development.
Experience with AWS cloud services such as Lambda, S3, RDS, DynamoDB, API Gateway, Glue, and CloudWatch.
Work Experience Required: 5+ years
Experienced in building scalable, production-grade APIs and microservices with strong knowledge of RESTful API design and system integration patterns.
Familiarity with generative AI technologies and AI-augmented application development to leverage LLMs effectively.
Comfortable working in agile development environments and collaborating with data engineering and business stakeholders within the Life Sciences R&D domain.