Bioinformatics Software Engineer: Genomics Pipelines & Tools

Baylor Genetics; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Baylor Genetics is seeking a Bioinformatics Software Engineer to develop and maintain bioinformatics software, databases, and tools in a fast-paced genomic research environment. You will help design and execute data processing pipelines for genomic, transcriptomic, and proteomic data and work closely with research and clinical review teams to interpret results.

The role requires a Bachelor's degree in a related field and proficiency in Python, R, or Java, with clinical lab experience preferred

Qualifications

• Bachelor's degree or higher in Bioinformatics, Computer Science, or a related field.
• Proficiency in programming languages such as Python, R, or Java. Prior clinical lab experience preferred but not required

Responsibilities

• Develop and maintain bioinformatics software, databases, and tools.
• Assist in the design and execution of data processing pipelines for genomic, transcriptomic, and proteomic data.
• Collaborate with research and clinical review teams to analyze experimental data and interpret results.
• Contribute to the integration of bioinformatics tools with other platforms and technologies.
• Document and report on software development processes, data analyses, and results.
• Participate in team meetings and provide insights and updates on project statuses.
• Stay updated with the latest bioinformatics software and techniques.

Skills

Python

R

Java

Education

Bachelor's degree in Bioinformatics, Computer Science, or a related field

Job description

Baylor Genetics is seeking a Bioinformatics Software Engineer to develop and maintain bioinformatics software, databases, and tools in a fast-paced genomic research environment. You will help design and execute data processing pipelines for genomic, transcriptomic, and proteomic data and work closely with research and clinical review teams to interpret results.

The role requires a Bachelor's degree in a related field and proficiency in Python, R, or Java, with clinical lab experience preferred