The company is seeking to optimize high-throughput lab environments through AI-powered task automation, workflow guidance, and intelligent analytics.
Requirements
- Expertise in Python, Java, SQL, and AI/ML frameworks (PyTorch, TensorFlow, Keras, Scikit-learn)
- Proven experience fine-tuning LLMs, developing RAG systems, and working with Generative AI
- Hands-on experience deploying ML models in production using AWS SageMaker, Bedrock, or similar cloud AI platforms
- Deep expertise in cloud computing (AWS) and MLOps best practices
- Experience with custom LIMS/LES development and AI-driven lab automation
- Familiarity with regulatory compliance and security standards in healthcare and life sciences
- Strong background in task automation, workflow optimization, and real-time AI applications
Responsibilities
- Develop and execute a strategic roadmap for AI-driven lab operations optimization
- Identify and implement Generative AI and deep learning models for automating and enhancing lab workflows
- Lead research and prototyping efforts in Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning LLMs (Large Language Models)
- Guide AI-driven solutions for task list generation, workflow guidance, and intelligent lab automation
- Architect and optimize Generative AI solutions leveraging AWS Bedrock, SageMaker, and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
- Develop and fine-tune custom LLMs to enhance workflow automation and decision support
- Build real-time AI-powered applications to provide contextual recommendations and predictive insights in lab environments
Other
- 12+ years of experience in software development
- Strong problem-solving skills with a strategic mindset for AI adoption and innovation
- Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
- 401k benefits, commuter benefits and much more
- Pregnancy and baby bonding leave
- Employee referral program
