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Design, develop, and maintain genetic knowledgebases and curation tools; implement ETL pipelines and data models for genomic and clinical data; build UIs for curation; optimize databases and queries; and collaborate with geneticists, bioinformaticians, software engineers, and IT to integrate knowledge into clinical diagnostics workflows.

Drive sales growth and meet revenue targets across a defined Virginia territory by expanding existing accounts and acquiring new clients. Present Baylor Genetics genomic testing to clinicians and genetic counselors, build business plans, collaborate with internal teams (Medical Science Liaison, Market Access, product management), analyze territory data, and support system-wide access strategies. Frequent in-territory travel and occasional travel for conferences and trainings required.

The Senior Marketing Manager oversees marketing project management, leading end-to-end project execution and integrated campaigns while ensuring alignment with strategic goals.

Manage onboarding and ongoing white-glove support for assigned clients, act as SME for Baylor Genetics, monitor client activity, resolve issues, drive retention and KPI achievement, run quarterly reviews, use Salesforce to document interactions, and coordinate cross-functional teams and logistics.

The Principal Software Engineer will lead software architecture, design, and development for genetic testing systems, collaborating across teams to deliver robust solutions that enhance patient care.

The Senior Software Engineer will lead the design and development of complex systems, mentor team members, and ensure technical excellence while collaborating with various teams to optimize workflows.

Support HR operations by maintaining HRIS data integrity, processing employee lifecycle actions, auditing personnel records, coordinating approvals, assisting reporting and compliance, and responding to employee inquiries.

The VP of Business Development will drive growth through strategic planning, market analysis, relationship building, and operational excellence. They will lead teams, set revenue targets, and ensure compliance with industry regulations.

The Molecular Genetics Analysis Assistant performs quality control, reviews genetic sequencing data, orders confirmations, and monitors clinical cases in genomics.

The Lead Bioinformatics AI Scientist will lead AI and GenAI R&D initiatives to develop advanced clinical testing and genomic data analysis platforms, leveraging expertise in bioinformatics and machine learning.