Data Scientist; Bioinformatics Developer - Generation Sequencing; NGS
Listed on 2026-02-15
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IT/Tech
AI Engineer, Data Analyst
Overview
The Department of Molecular Diagnostics at MD Anderson Cancer Center is at the forefront of precision oncology, leveraging advanced genomic technologies to deliver clinically actionable insights that directly impact patient care. The department supports a wide range of next‑generation sequencing (NGS)–based assays and computational platforms that enable accurate diagnosis, prognostication, and treatment selection for cancer patients in a highly regulated clinical environment.
PositionSummary
As a Data Scientist (Bioinformatics Developer), you will develop, implement, and maintain clinical informatics applications and bioinformatics pipelines that support molecular diagnostic testing and genomic reporting. Working closely with molecular diagnostics scientists, bioinformaticians, pathologists, software engineers, and clinical stakeholders, you will translate complex biological and clinical questions into scalable, reproducible computational solutions.
Key Technical ResponsibilitiesSupport and enhance enterprise‑level platforms such as the Onco Seek genomics annotation and reporting engine, which has been used at MD Anderson for clinical NGS reporting for over a decade. Contribute to development and ongoing maintenance of the MDLConductor laboratory informatics system (LIS), integrating laboratory workflows with hospital informatics systems and automating critical processes such as sample tracking, labeling, robotic storage, quantitation, and plate‑based workflows.
Your work will directly enable high‑throughput, high‑fidelity clinical laboratory operations.
Design and implement algorithms and statistical methods for interpreting genomic data, including variant detection, differential expression analysis, pathway analysis, and other advanced analytics. This position requires deep expertise in bioinformatics theory and hands‑on data analysis, along with the ability to apply these methods to real‑world clinical datasets in compliance with laboratory and regulatory standards.
Develop and maintain bioinformatics pipelines for a broad range of NGS applications: whole genome, whole exome, whole transcriptome, targeted sequencing, single‑cell sequencing, liquid biopsy analysis, and minimal residual disease detection. Perform and optimize key analytical steps such as quality control, alignment, variant calling, annotation, and reporting, adapting pipelines to meet evolving clinical and research needs.
Integrate existing bioinformatics tools and databases into custom workflows, evaluate emerging technologies, and incorporate new methods to improve efficiency, accuracy, and reproducibility. Maintain thorough documentation, version control, and software development best practices to ensure transparency and long‑term sustainability of analytical pipelines.
Collaborate with multidisciplinary project teams, contribute to scientific discussions, present work in meetings and seminars, and provide training and technical support to laboratory staff, precision oncology scientists, pathologists, and clinicians. Through these interactions, help drive innovation, support clinical decision‑making, and expand the effective use of genomics and artificial intelligence in cancer care.
Benefits and CompensationMD Anderson offers a comprehensive total rewards package, including paid medical benefits, generous paid time off, retirement plans, and additional benefits, providing stability and long‑term career growth within one of the world's leading cancer centers.
The ideal candidate will haveNGS and C#/.NET experience.
Job Specific CompetenciesDevelopment, optimization, deployment and maintenance of clinical informatics applications and bioinformatics pipelines.
Key Responsibilities- Support functional development of the Onco Seek genomics annotation and reporting engine, which has been used to generate genomic NGS panel reports at MD Anderson since 2012.
- Support, develop and maintain MDLConductor laboratory informatics system (LIS) and applications for MDL. Specific efforts include integrating MDL LIS with hospital informatics system, developing automated rack label and vial label printing with real‑time Micronics tube…
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