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Location: South San Francisco, CA (Hybrid)
Duration: 12 Months
The Position
- We advance science so that we all have more time with the people we love.
- Early Clinical Development (ECD) department is seeking a talented and motivated Software Developer to join the Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical
- Writing, Quality, Regulatory).
- It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses
- of the rapidly changing tech and healthcare landscapes.
- The Software Engineer will primarily be responsible for designing, developing, and deploying software which
- interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others.
- Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.
- Innovate and develop software applications to support clinical development
- Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
- Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.
- Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development.
- Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
- An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
- Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.
- Someone with experience in the automation and speed up of the software development lifecycle.
- Someone who brings additional skills to the software development process like test automation, deployment maintenance, or ML model deployment/monitoring.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong proficiency in either a front-end framework (Vue.js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
- 2+ years experience with front-end frameworks (preferably Vue.js)
- 2+ years of developing and deploying AI/ML solutions or applications
- Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
- Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
- 3+ years of DevOps experience with cloud platforms, specifically AWS (EKS, RDS,EC2).
- Experience with caching and data store technologies like Redis.
- Experience with CI/CD pipelines and automation tools (GitLab CI, GitHub Actions).
- Proficiency in Infrastructure as Code tools (Terraform, CloudFormation) and GitOps (Argo CD).
- Experience with monitoring and observability tools (Portkey, Prometheus, Grafana, ELK stack).
- Experience with cloud data warehousing / analytics platforms (e.g., Snowflake, BigQuery, Redshift).
- Knowledge of system administration, particularly with Linux.
- Experience with security best practices and compliance frameworks.
- Strong incident management and root cause analysis skills.
- Familiar with Agile methodologies
- Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
- Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Extensive experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
- Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)
- Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
- Experience with microservices architecture and managing distributed systems.
- Experience with DevSecOps practices and security scanning tools.
- Experience with database administration and management, including performance tuning, backups, and disaster recovery.
- Experience with cloud cost optimization strategies, performance engineering, and application optimization.
- Experience with test automation e.g. Playwright
- Familiarity with CRDT technologies like Yjs.
- Experience with using NLP/LLMs on clinical text.
- Basic knowledge of clinical drug development
Job #: 25-48901
Key Skills
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