SUMMARY:
We are seeking a data/software engineer with strong knowledge and hands-on experience in genetic knowledge management, data engineering, and software engineering to develop and maintain our comprehensive genetic knowledgebases. You will work closely with cross-functional teams to architect, engineer, and develop curation tools for our proprietary clinical insight knowledgebase as a part of our core data value proposition and integrate this knowledge into our clinical diagnostics workflows.
QUALIFICATIONS:
- Bachelor of Science degree in computer science, a comparable program, or an equivalent qualification, with 5+ years of comprehensive experience in related field.
- Experience:
- Experience in programming and scripting languages and full-stack engineering.
- Experience in front-end web development.
- Hands-on experience with database management systems in Microsoft SQL Server.
- Hands-on experience with database architecture, design, and optimization.
- DevOps experience such as unit testing, CI/CD is a plus.
- Experience with controlled vocabularies, medical ontologies, ACMG guidelines, and ClinVar is a plus.
- Excellent problem solving and troubleshooting skills.
- Strong communication and collaboration skills.
- Ability to learn quickly and adapt to a fast-changing environment.
DUTIES AND RESPONSIBILITIES:
- Lead the planning, implementation, and execution of data ETL, management and engineering. Provides hands-on support towards building company’s next-generation knowledge informatics platform.
- Oversee implementation of user interfaces for curation and data maintenance tools based on user requirements.
- Enhance data and knowledge processing effectiveness and efficiency, and improve workflows for internal data analysis, interpretation, and clinical report writing in daily production clinical operations.
- Implementation of data models and software frameworks to effectively store and process data, information, and clinical insights.
- Lead integration of large-scale genomic datasets into backend systems for efficient extraction and retrieval, and visualization.
- Monitor database performance and proactively optimize queries and processes for improved efficiency.
- Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals.
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
- 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 bloodborne and airborne pathogens or infectious materials
EEO Statement:
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.
