Technical Lead, Knowledge InformaticsLocation: Remote (CST Hours) - Houston, TXDuration: Full-TimeAbout the RoleWe are looking for a highly skilled data/software engineer with expertise in genetic knowledge management, data engineering, and software development. This role involves developing and maintaining comprehensive genetic knowledge bases and working closely with cross-functional teams to design, build, and enhance curation tools. The selected candidate will be key in integrating genetic knowledge into clinical diagnostics workflows, contributing to the organization's core data value proposition.
QualificationsEducation:- Bachelor's degree in Computer Science, a related field, or equivalent experience.
- 5+ years of experience in a relevant domain.
Experience & Skills:- Proficiency in programming and scripting languages, with experience in full-stack development.
- Strong background in front-end web development.
- Hands-on experience with Microsoft SQL Server and database management.
- Expertise in database architecture, design, and performance optimization.
- Knowledge of DevOps practices such as unit testing and CI/CD is a plus.
- Familiarity with controlled vocabularies, medical ontologies, ACMG guidelines, and ClinVar is advantageous.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities.
- Ability to adapt quickly in a dynamic, fast-paced environment.
Key Responsibilities- Lead the design, implementation, and execution of data ETL, management, and engineering processes.
- Provide hands-on support in building the next-generation knowledge informatics platform.
- Develop user interfaces for curation and data maintenance tools based on user requirements.
- Optimize data processing workflows to enhance internal analysis, interpretation, and clinical reporting efficiency.
- Implement data models and software frameworks for effective storage and processing of clinical insights.
- Integrate large-scale genomic datasets into backend systems for efficient extraction, retrieval, and visualization.
- Monitor database performance, optimize queries, and improve overall system efficiency.
- Collaborate with multidisciplinary teams, including geneticists, bioinformaticians, software engineers, and IT professionals, in a regulated clinical diagnostics environment.
