Senior Software Engineer – Lab Operations
| Company | Natera |
|---|---|
| Location | Austin, TX, USA, Remote in USA |
| Salary | $118200 – $147700 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ years of experience in software development, AI-driven solutions, and UX optimization.
- Expertise in Python, and front-end frameworks (React, Vue, or Angular).
- Experience developing AI models and automation workflows using AWS Bedrock, SageMaker, and AI/ML frameworks
- Strong background in task management systems, workflow automation, and real-time user guidance.
- Experience with AWS cloud platforms and services (Lambda, Glue, DynamoDB, S3, etc.).
- Strong problem-solving skills and a user-focused approach to software development.
Responsibilities
- Develop AI-powered task list generation systems to streamline lab processes.
- Design automated workflow guidance tools to help lab personnel navigate complex procedures efficiently.
- Implement AI-driven decision support systems for lab operations optimization.
- Utilize AWS Bedrock, SageMaker, and other AI/ML services to build intelligent automation solutions.
- Design and implement full-stack applications that improve lab user experience.
- Build intuitive UI/UX solutions that integrate real-time workflow updates, task prioritization, and smart recommendations.
- Develop interactive dashboards and automation tools for lab personnel.
- Work on backend services and front-end applications for lab operations enhancement.
- Architect scalable, secure, and cost-effective AI-driven solutions using AWS services (Bedrock, SageMaker, Lambda, Glue, RDS, DynamoDB, S3, etc.).
- Implement CI/CD pipelines and infrastructure as code for rapid AI model deployment.
- Optimize system performance and conduct root-cause analysis for lab workflow improvements.
- Work closely with lab personnel, product managers, and software engineers to define requirements and optimize user experience.
- Apply human-centered design principles to enhance task management and workflow automation.
- Stay updated on emerging AI, user experience, and automation trends to drive continuous innovation.
Preferred Qualifications
- Experience with custom LIMS/LES systems for lab operations.
- Hands-on experience in natural language processing (NLP) and intelligent assistant development.
- Familiarity with regulatory compliance and security standards in healthcare and life sciences.