We are seeking a seasoned data engineer with strong knowledge and hands-on experience in clinical genomic data analytics, knowledge management, data engineering, and cloud computing, as well as data platform design and development. This position offers the opportunity to make a significant impact in the field of genomics.
Qualifications
- Education:
- Master's or higher degree in Data Science, Computer Science/Engineering, Biomedical Engineering, or a related field.
- Five (5) years of experience in genomic data analysis and software development.
- Experience:
- Hands-on experience in human genetics/multi-omics data analysis and software development, especially in next-generation sequencing data.
- Clinical genotype and phenotype data analysis and modeling.
- Data ETL, management, and data sharing for genomic and clinical applications, especially for next-generation sequencing data.
- Databases (SQL and No-SQL).
- Scripting languages (Bash and Python).
- Cloud platforms (Azure) and commercial data platforms (data lakehouse/data warehouse).
- Familiarity with commercial/open-source data analytical platforms, advanced data visualization techniques, and clinical actionable variant interpretation and classification.
- DevOps experience such as unit testing, CI/CD is a plus.
- Strong curiosity and adaptability to a fast-changing environment.
Duties and Responsibilities
- Serve as the subject matter expert (SME) in clinical genomic data analysis, ETL, management, and engineering, providing hands-on support towards the development of the company’s next-generation data analytical platform.
- Design, develop, evaluate, and deploy state-of-the-art analytical solutions to gain valuable insights based on genetic, phenotypic, and clinical datasets.
- Evaluate, organize, and manage the company’s valuable data assets, designing cloud-based data models/schemas to efficiently manage and query large-scale genomic datasets.
- Support both internal and external data requirements by leveraging AI/ML and GenAI capabilities to meet increasing business demands.
- Collaborate 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, stand, and utilize hand and finger dexterity.
- Frequently required to talk or hear and utilize visual acuity to operate equipment, read technical information, and 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.
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