Lead Bioinformatics Scientist

Baylor Genetics is seeking a Lead Bioinformatics Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. The individual will drive the design, development, and implementation of advanced computational methods, algorithms, and analytical pipelines to enhance Baylor Genetics' genomic testing and interpretation capabilities.

Requirements

• Master's or higher degree in Bioinformatics, Computational Biology, Genomics, Computer Science, Genomic Data Science, or related quantitative field
• 8+ years of professional experience in bioinformatics, computational genomics, data science, or genomic R&D, including 3–5 years in a principal or leadership role
• Proven expertise in pipeline development, algorithm design, and computational genomics research
• Hands-on experience in secondary and tertiary genomic analysis
• Demonstrated integration of statistical and data science approaches in genomics applications
• Experience working in a clinical genomics or regulated diagnostic environment
• Proficiency in Python, R, and at least one compiled language (C/C++, Java, or similar)
• Expertise in NGS data formats and tools
• Strong knowledge of clinical genomic databases and annotation resources
• Solid foundation in statistical modeling, data analysis, and feature engineering for biological data
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) applied to genomic data
• Experience with workflow orchestration tools (Nextflow, Snakemake, Cromwell) and cloud-based computing (Azure, AWS, GCP)
• Experienced with data management, version control (Git), and CI/CD best practices
• Knowledge of multi-omics data integration and modern visualization techniques

Benefits

• Competitive salary
• Benefits package
• 401(k) matching
• Retirement plan
• Health insurance
• Dental insurance
• Vision insurance
• Paid time off
• Vacation days
• Holidays
• Sick leave
• Relocation assistance
• Employee recognition program