Developer

March 13

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BioVid

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BioVid is a strategic consulting firm that partners with life science organizations to enhance their understanding of human behavior, enabling more effective customer interactions. Through a combination of innovative research, sophisticated analytics, and design, BioVid helps leading pharmaceutical and medical device companies navigate complex market dynamics and minimize risks in clinical trials. By utilizing evidence-based techniques and a deep understanding of cognitive and behavioral science, BioVid empowers clients to make accurate predictions and informed business decisions that support the greater good.

Primary Global Healthcare Market Research • Quantitative Research (50%) • Qualitative Research (50%) • Cognitive Marketing • Cognitive Insights

51 - 200 employees

Founded 1998

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

📋 Description

• Design, develop, and maintain scalable APIs and microservices using JavaScript and Python. • Implement RESTful and GraphQL APIs that efficiently handle large-scale data transactions. • Experience deploying and monitoring apps and microservices in the cloud, preferably Googler Cloud, but others fine too. • Optimize server-side logic and database interactions to improve response times and system efficiency. • Work with authentication and authorization mechanisms, including OAuth, JWT, and API key security. • Develop real-time communication services using WebSockets and message queues. • Set up and manage CI/CD pipelines for automated testing and deployment. • Deploy, manage, and optimize applications on cloud platforms. • Containerize applications using Docker and orchestrate services using Kubernetes. • Implement monitoring, logging, and alerting systems to ensure system uptime and performance. • Enhance system scalability by leveraging serverless computing, load balancing, and caching strategies. • Work with LLMs, implementing fine-tuning, deployment, and inference optimizations. • Develop AI-driven features such as chatbots, recommendation systems, or text processing pipelines. • Optimize LLM performance by leveraging vector databases and embedding techniques. • Implement MLOps practices to streamline AI model deployment and monitoring. • Collaborate with teams to integrate model outputs into production applications. • Design and maintain ETL pipelines to process, clean, and transform data efficiently. • Manage and optimize SQL and NoSQL databases, ensuring efficient data storage and retrieval. • Develop and maintain data streaming solutions for real-time processing. • Implement data governance and compliance measures, ensuring data privacy and security best practices. • Continuously analyze and optimize system performance, reducing latency and improving scalability. • Monitor application health, perform root cause analysis, and troubleshoot system issues. • Implement caching mechanisms to enhance application speed. • Ensure high availability and fault tolerance through robust system design and testing. • Work closely with various team member to develop integrated solutions. • Participate in Agile development processes, contributing to sprint planning, code reviews, and documentation. • Stay up to date with emerging technologies and industry trends, bringing innovative ideas to the team.

🎯 Requirements

• 5+ years of experience in back-end development. • Strong proficiency in JavaScript (Node.js) and Python. • Experience with DevOps tools. • Knowledge of cloud platforms. • Experience working with LLMs. • Proficiency in data engineering. • Understanding of security best practices for back-end applications. • Strong problem-solving skills and ability to work in an agile environment.