Lead Bioinformatics AI Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Acts as the innovative leader in the development of Bioinformatics AI applications within a clinical genetic testing framework.

• Offers technical expertise and hands-on assistance in creating the company’s next-generation bioinformatics AI platform.

• Identifies, prototypes, and creates cutting-edge AI applications aimed at transforming clinical testing and genomic analysis processes.

• Designs, develops, assesses, and implements novel AI solutions to extract valuable insights from genetic, phenotypic, and clinical datasets.

• Reviews, adopts, and tailors GenAI models utilizing both internal and external datasets to construct advanced clinical genetic testing platforms.

• Facilitates both internal and external data needs by harnessing AI and GenAI capabilities to meet the growing demands of the organization.

• Collaborates within a multidisciplinary and regulated clinical diagnostics environment alongside geneticists, bioinformaticians, software engineers, and IT infrastructure experts.

⛳️ Requirements

• Master's degree or higher (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science, or a related quantitative discipline.

• Over 8 years of professional experience in bioinformatics, AI application development, machine learning, and/or genomic data analysis, including 3–5 years in a principal or leadership position.

• Practical experience in cutting-edge GenAI application development, LLM model tuning, agentic AI, and model context protocol (MCP).

• Proven track record in building and/or implementing innovative AI and GenAI solutions tailored for business-specific needs, particularly in clinical testing and genomic data analysis.

• Experienced in automated and scalable AI/GenAI application evaluation, development, and deployment in production environments requiring rapid turnaround times (TAT) and high reliability.

• Extensive background in human genetics/multi-omics data modeling and application development, especially involving next-generation sequencing data.

• Proficient in machine learning frameworks such as Huggingface, TensorFlow, and PyTorch.

• Skilled in scripting languages, including Bash and Python.

• Strong experience with cloud platforms (Azure, AWS, GCP) and data services (data lakehouse/data warehouse).

• Familiarity with context-aware OCR.

• Experience with databases, including SQL and no-SQL.

• DevOps experience, such as unit testing and CI/CD, is advantageous.

• Demonstrates a strong curiosity and the capability to learn rapidly and adapt in a fast-paced environment.

🏝️ Benefits

• Health insurance

• Professional development opportunities