Bioinformatics Engineer II - Data Pipelines & ML for Biotech

Baylor College of Medicine; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Baylor College of Medicine is seeking a Bioinformatics Programmer II to design and implement computational biology projects under the PI’s supervision. The role focuses on developing complex information systems for large biological datasets, maintaining code in lab GitHub, and managing data on lab servers.

You will explain pipelines to the PI and contribute to data-driven insights. Responsibilities include drafting specifications for Python and R programs, developing and testing pipelines, and

Qualifications

• Bachelor's degree in Computer Science, Biological Science, or a related field.
• Two years of relevant experience.

Responsibilities

• Prepares detailed specifications and algorithms from which Python and R programs will be written.
• Implements, tests, debugs, and maintains programs and pipelines including large-scale data download, preprocessing, and formatting for downstream analysis and ML/AI modeling.
• Applies third-party tools correctly and explains tool parameters and configurations to the PI; explores deeper into the codebase as needed.
• Advises on hardware and software decisions for efficient application; installs software on the lab compute server as needed.
• Maintains codes and analysis results in lab GitHub.
• Presents codes, pipelines, and infrastructure in weekly PI meetings.
• If AI is used for coding, confirms every line of code is understood by PI.
• Performs other job-related duties as assigned.

Skills

Python

R

GitHub

Data analysis

Machine learning

Education

Bachelor's degree in Computer Science or Biological Science or related field

Master’s degree in related field

Job description

Baylor College of Medicine is seeking a Bioinformatics Programmer II to design and implement computational biology projects under the PI’s supervision. The role focuses on developing complex information systems for large biological datasets, maintaining code in lab GitHub, and managing data on lab servers.

You will explain pipelines to the PI and contribute to data-driven insights. Responsibilities include drafting specifications for Python and R programs, developing and testing pipelines, and