Sr. Bioinformatics ML​/AI Engineer

Qualifications

• Master’s or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or a related field with five (5) years of experience in genomic data analysis and application development.
• Hands‑on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation.
• Hands‑on experience in human genetics/multi‑omics data modeling and application development, especially in next‑generation sequencing data.
• Hands‑on experience in machine learning frameworks such as Huggingface and Tensor Flow.
• Hands‑on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
• Hands‑on experience in RAG AI framework.
• Hands‑on experience with scripting languages such as Bash and Python.
• Strong experience with cloud platforms (Azure) and data services (data lakehouse/data warehouse).
• Experience with context‑aware OCR.
• Experience with databases, including SQL and No
  
  SQL.
• Familiarity with advanced data visualization techniques.
• Dev Ops experience, such as unit testing and CI/CD, is a plus.
• Strong curiosity and the ability to learn quickly and adapt to a fast‑changing environment.

• Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting, providing hands‑on support toward building the company’s next‑generation bioinformatics ML/AI platform.
• Designs, develops, evaluates, and deploys state‑of‑the‑art ML/AI solutions to gain valuable data insights based on genetic, phenotypical, and clinical datasets.
• Evaluates, adopts, and customizes GenAI models from both internal and external datasets to enhance the overall performance of the genetic testing workflow.
• Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to meet the increasing business demands.
• Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals.

• Frequently required to sit.
• Frequently required to stand.
• Frequently required to utilize hand and finger dexterity.
• Frequently required to talk or hear.
• Frequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboard.
• Occasionally exposed to blood borne and airborne pathogens or infectious materials.

Baylor Genetics is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, gender identity, veteran status, disability, genetic information, pregnancy, childbirth, or related medical conditions, or any other status protected under applicable federal, state, or local law.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Location:

Houston, TX

Salary: $–$