Sr Data Engineer - Bioinformatics

SummaryA seasoned bioinformatics data engineer with strong knowledge and hands-on experience in bioinformatics data analytics, knowledge management, data engineering, cloud computing, as well as data platform design and development.QualificationsEducation:Master's or higher degree in Bioinformatics, Computer Science/Engineering or related field with 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 dataHands-on experience in data ETL, data management, and data sharing for bioinformatics applications, especially for next generation sequencing dataHands-on experience with databases, including SQL and no-SQLHands-on experience with scripting language, such as Bash and PythonHands-on experience in cloud platform (Azure) and commercial data platforms (data lakehouse/data warehouse)Experience in NGS bioinformatics analysis including variant detection, annotation and classificationFamiliarity with advanced data visualization techniquesFamiliarity with commercial/open-source data analytical platformsDemonstrated competency in statistical programming such as R and Matlab is a plus.DevOps experience such as unit testing, CI/CD is a plus.Strong curiosity and the ability to learn quickly and adapt to a fast-changing environmentDuties And ResponsibilitiesServes as the SME in bioinformatics data analysis, ETL, management and engineering. Provides hands-on support towards building company’s next-generation data analytical platformDesigns, develops, evaluates, and deploys state-of-the-art analytical solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasetsEvaluates, organizes, and manages company’s valuable data assetsDesigns cloud-based data model/schema to efficiently manage and query large scale genomic datasetSupports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the businessCollaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionalsPhysical Demands And Work EnvironmentFrequently required to sitFrequently required to standFrequently required to utilize hand and finger dexterityFrequently required to talk or hearFrequently required to utilize visual acuity to operate equipment, read technical information, and/or use a keyboardOccasionally exposed to bloodborne and airborne pathogens or infectious materialsEEO StatementBaylor 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.